Entity Resolution And Information Quality

Entity Resolution And Information Quality Book PDF
✏Book Title : Entity Resolution and Information Quality
✏Author : John R. Talburt
✏Publisher : Elsevier
✏Release Date : 2011-01-14
✏Pages : 256
✏ISBN : 0123819733
✏Available Language : English, Spanish, And French

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✏Entity Resolution and Information Quality Book Summary : Entity Resolution and Information Quality presents topics and definitions, and clarifies confusing terminologies regarding entity resolution and information quality. It takes a very wide view of IQ, including its six-domain framework and the skills formed by the International Association for Information and Data Quality {IAIDQ). The book includes chapters that cover the principles of entity resolution and the principles of Information Quality, in addition to their concepts and terminology. It also discusses the Fellegi-Sunter theory of record linkage, the Stanford Entity Resolution Framework, and the Algebraic Model for Entity Resolution, which are the major theoretical models that support Entity Resolution. In relation to this, the book briefly discusses entity-based data integration (EBDI) and its model, which serve as an extension of the Algebraic Model for Entity Resolution. There is also an explanation of how the three commercial ER systems operate and a description of the non-commercial open-source system known as OYSTER. The book concludes by discussing trends in entity resolution research and practice. Students taking IT courses and IT professionals will find this book invaluable. First authoritative reference explaining entity resolution and how to use it effectively Provides practical system design advice to help you get a competitive advantage Includes a companion site with synthetic customer data for applicatory exercises, and access to a Java-based Entity Resolution program.

Innovative Techniques And Applications Of Entity Resolution Book PDF
✏Book Title : Innovative Techniques and Applications of Entity Resolution
✏Author : Wang, Hongzhi
✏Publisher : IGI Global
✏Release Date : 2014-02-28
✏Pages : 398
✏ISBN : 9781466651999
✏Available Language : English, Spanish, And French

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✏Innovative Techniques and Applications of Entity Resolution Book Summary : Entity resolution is an essential tool in processing and analyzing data in order to draw precise conclusions from the information being presented. Further research in entity resolution is necessary to help promote information quality and improved data reporting in multidisciplinary fields requiring accurate data representation. Innovative Techniques and Applications of Entity Resolution draws upon interdisciplinary research on tools, techniques, and applications of entity resolution. This research work provides a detailed analysis of entity resolution applied to various types of data as well as appropriate techniques and applications and is appropriately designed for students, researchers, information professionals, and system developers.

📒Data Matching ✍ Peter Christen

Data Matching Book PDF
✏Book Title : Data Matching
✏Author : Peter Christen
✏Publisher : Springer Science & Business Media
✏Release Date : 2012-07-04
✏Pages : 272
✏ISBN : 9783642311642
✏Available Language : English, Spanish, And French

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✏Data Matching Book Summary : Data matching (also known as record or data linkage, entity resolution, object identification, or field matching) is the task of identifying, matching and merging records that correspond to the same entities from several databases or even within one database. Based on research in various domains including applied statistics, health informatics, data mining, machine learning, artificial intelligence, database management, and digital libraries, significant advances have been achieved over the last decade in all aspects of the data matching process, especially on how to improve the accuracy of data matching, and its scalability to large databases. Peter Christen’s book is divided into three parts: Part I, “Overview”, introduces the subject by presenting several sample applications and their special challenges, as well as a general overview of a generic data matching process. Part II, “Steps of the Data Matching Process”, then details its main steps like pre-processing, indexing, field and record comparison, classification, and quality evaluation. Lastly, part III, “Further Topics”, deals with specific aspects like privacy, real-time matching, or matching unstructured data. Finally, it briefly describes the main features of many research and open source systems available today. By providing the reader with a broad range of data matching concepts and techniques and touching on all aspects of the data matching process, this book helps researchers as well as students specializing in data quality or data matching aspects to familiarize themselves with recent research advances and to identify open research challenges in the area of data matching. To this end, each chapter of the book includes a final section that provides pointers to further background and research material. Practitioners will better understand the current state of the art in data matching as well as the internal workings and limitations of current systems. Especially, they will learn that it is often not feasible to simply implement an existing off-the-shelf data matching system without substantial adaption and customization. Such practical considerations are discussed for each of the major steps in the data matching process.

Information Quality And Governance For Business Intelligence Book PDF
✏Book Title : Information Quality and Governance for Business Intelligence
✏Author : Yeoh, William
✏Publisher : IGI Global
✏Release Date : 2013-12-31
✏Pages : 478
✏ISBN : 9781466648937
✏Available Language : English, Spanish, And French

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✏Information Quality and Governance for Business Intelligence Book Summary : Business intelligence initiatives have been dominating the technology priority list of many organizations. However, the lack of effective information quality and governance strategies and policies has been meeting these initiatives with some challenges. Information Quality and Governance for Business Intelligence presents the latest exchange of academic research on all aspects of practicing and managing information using a multidisciplinary approach that examines its quality for organizational growth. This book is an essential reference tool for researchers, practitioners, and university students specializing in business intelligence, information quality, and information systems.

Entity Information Life Cycle For Big Data Book PDF
✏Book Title : Entity Information Life Cycle for Big Data
✏Author : John R. Talburt
✏Publisher : Morgan Kaufmann
✏Release Date : 2015-04-20
✏Pages : 254
✏ISBN : 9780128006658
✏Available Language : English, Spanish, And French

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✏Entity Information Life Cycle for Big Data Book Summary : Entity Information Life Cycle for Big Data walks you through the ins and outs of managing entity information so you can successfully achieve master data management (MDM) in the era of big data. This book explains big data’s impact on MDM and the critical role of entity information management system (EIMS) in successful MDM. Expert authors Dr. John R. Talburt and Dr. Yinle Zhou provide a thorough background in the principles of managing the entity information life cycle and provide practical tips and techniques for implementing an EIMS, strategies for exploiting distributed processing to handle big data for EIMS, and examples from real applications. Additional material on the theory of EIIM and methods for assessing and evaluating EIMS performance also make this book appropriate for use as a textbook in courses on entity and identity management, data management, customer relationship management (CRM), and related topics. Explains the business value and impact of entity information management system (EIMS) and directly addresses the problem of EIMS design and operation, a critical issue organizations face when implementing MDM systems Offers practical guidance to help you design and build an EIM system that will successfully handle big data Details how to measure and evaluate entity integrity in MDM systems and explains the principles and processes that comprise EIM Provides an understanding of features and functions an EIM system should have that will assist in evaluating commercial EIM systems Includes chapter review questions, exercises, tips, and free downloads of demonstrations that use the OYSTER open source EIM system Executable code (Java .jar files), control scripts, and synthetic input data illustrate various aspects of CSRUD life cycle such as identity capture, identity update, and assertions

Information Quality In Information Fusion And Decision Making Book PDF
✏Book Title : Information Quality in Information Fusion and Decision Making
✏Author : Éloi Bossé
✏Publisher : Springer
✏Release Date : 2019-04-02
✏Pages : 620
✏ISBN : 9783030036430
✏Available Language : English, Spanish, And French

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✏Information Quality in Information Fusion and Decision Making Book Summary : This book presents a contemporary view of the role of information quality in information fusion and decision making, and provides a formal foundation and the implementation strategies required for dealing with insufficient information quality in building fusion systems for decision making. Information fusion is the process of gathering, processing, and combining large amounts of information from multiple and diverse sources, including physical sensors to human intelligence reports and social media. That data and information may be unreliable, of low fidelity, insufficient resolution, contradictory, fake and/or redundant. Sources may provide unverified reports obtained from other sources resulting in correlations and biases. The success of the fusion processing depends on how well knowledge produced by the processing chain represents reality, which in turn depends on how adequate data are, how good and adequate are the models used, and how accurate, appropriate or applicable prior and contextual knowledge is. By offering contributions by leading experts, this book provides an unparalleled understanding of the problem of information quality in information fusion and decision-making for researchers and professionals in the field.

Information Quality Management Book PDF
✏Book Title : Information Quality Management
✏Author : Latif Al-Hakim
✏Publisher : IGI Global
✏Release Date : 2007-01-01
✏Pages : 301
✏ISBN : 9781599040240
✏Available Language : English, Spanish, And French

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✏Information Quality Management Book Summary : Technologies such as the Internet and mobile commerce bring with them ubiquitous connectivity, real-time access, and overwhelming volumes of data and information. The growth of data warehouses and communication and information technologies has increased the need for high information quality management in organizations. Information Quality Management: Theory and Applications provides solutions to information quality problems becoming increasingly prevalent.Information Quality Management: Theory and Applications provides insights and support for professionals and researchers working in the field of information and knowledge management, information quality, practitioners and managers of manufacturing, and service industries concerned with the management of information.

📒Entity Resolution In The Web Of Data ✍ Vassilis Christophides

Entity Resolution In The Web Of Data Book PDF
✏Book Title : Entity Resolution in the Web of Data
✏Author : Vassilis Christophides
✏Publisher : Morgan & Claypool Publishers
✏Release Date : 2015-08-01
✏Pages : 122
✏ISBN : 9781627058049
✏Available Language : English, Spanish, And French

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✏Entity Resolution in the Web of Data Book Summary : In recent years, several knowledge bases have been built to enable large-scale knowledge sharing, but also an entity-centric Web search, mixing both structured data and text querying. These knowledge bases offer machine-readable descriptions of real-world entities, e.g., persons, places, published on the Web as Linked Data. However, due to the different information extraction tools and curation policies employed by knowledge bases, multiple, complementary and sometimes conflicting descriptions of the same real-world entities may be provided. Entity resolution aims to identify different descriptions that refer to the same entity appearing either within or across knowledge bases. The objective of this book is to present the new entity resolution challenges stemming from the openness of the Web of data in describing entities by an unbounded number of knowledge bases, the semantic and structural diversity of the descriptions provided across domains even for the same real-world entities, as well as the autonomy of knowledge bases in terms of adopted processes for creating and curating entity descriptions. The scale, diversity, and graph structuring of entity descriptions in the Web of data essentially challenge how two descriptions can be effectively compared for similarity, but also how resolution algorithms can efficiently avoid examining pairwise all descriptions. The book covers a wide spectrum of entity resolution issues at the Web scale, including basic concepts and data structures, main resolution tasks and workflows, as well as state-of-the-art algorithmic techniques and experimental trade-offs.

📒Handbook Of Data Quality ✍ Shazia Sadiq

Handbook Of Data Quality Book PDF
✏Book Title : Handbook of Data Quality
✏Author : Shazia Sadiq
✏Publisher : Springer Science & Business Media
✏Release Date : 2013-08-13
✏Pages : 438
✏ISBN : 9783642362576
✏Available Language : English, Spanish, And French

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✏Handbook of Data Quality Book Summary : The issue of data quality is as old as data itself. However, the proliferation of diverse, large-scale and often publically available data on the Web has increased the risk of poor data quality and misleading data interpretations. On the other hand, data is now exposed at a much more strategic level e.g. through business intelligence systems, increasing manifold the stakes involved for individuals, corporations as well as government agencies. There, the lack of knowledge about data accuracy, currency or completeness can have erroneous and even catastrophic results. With these changes, traditional approaches to data management in general, and data quality control specifically, are challenged. There is an evident need to incorporate data quality considerations into the whole data cycle, encompassing managerial/governance as well as technical aspects. Data quality experts from research and industry agree that a unified framework for data quality management should bring together organizational, architectural and computational approaches. Accordingly, Sadiq structured this handbook in four parts: Part I is on organizational solutions, i.e. the development of data quality objectives for the organization, and the development of strategies to establish roles, processes, policies, and standards required to manage and ensure data quality. Part II, on architectural solutions, covers the technology landscape required to deploy developed data quality management processes, standards and policies. Part III, on computational solutions, presents effective and efficient tools and techniques related to record linkage, lineage and provenance, data uncertainty, and advanced integrity constraints. Finally, Part IV is devoted to case studies of successful data quality initiatives that highlight the various aspects of data quality in action. The individual chapters present both an overview of the respective topic in terms of historical research and/or practice and state of the art, as well as specific techniques, methodologies and frameworks developed by the individual contributors. Researchers and students of computer science, information systems, or business management as well as data professionals and practitioners will benefit most from this handbook by not only focusing on the various sections relevant to their research area or particular practical work, but by also studying chapters that they may initially consider not to be directly relevant to them, as there they will learn about new perspectives and approaches.

Databases Theory And Applications Book PDF
✏Book Title : Databases Theory and Applications
✏Author : Hua Wang
✏Publisher : Springer
✏Release Date : 2014-07-04
✏Pages : 231
✏ISBN : 9783319086088
✏Available Language : English, Spanish, And French

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✏Databases Theory and Applications Book Summary : This book constitutes the refereed proceedings of the 25th Australasian Database Conference, ADC 2014, held in Brisbane, NSW, Australia, in July 2014. The 15 full papers presented together with 6 short papers and 2 keynotes were carefully reviewed and selected from 38 submissions. A large variety of subjects are covered, including hot topics such as data warehousing; database integration; mobile databases; cloud, distributed, and parallel databases; high dimensional and temporal data; image/video retrieval and databases; database performance and tuning; privacy and security in databases; query processing and optimization; semi-structured data and XML; spatial data processing and management; stream and sensor data management; uncertain and probabilistic databases; web databases; graph databases; web service management; and social media data management.

An Introduction To Duplicate Detection Book PDF
✏Book Title : An Introduction to Duplicate Detection
✏Author : Felix Naumann
✏Publisher : Morgan & Claypool Publishers
✏Release Date : 2010
✏Pages : 77
✏ISBN : 9781608452200
✏Available Language : English, Spanish, And French

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✏An Introduction to Duplicate Detection Book Summary : With the ever increasing volume of data, data quality problems abound. Multiple, yet different representations of the same real-world objects in data, duplicates, are one of the most intriguing data quality problems. The effects of such duplicates are detrimental; for instance, bank customers can obtain duplicate identities, inventory levels are monitored incorrectly, catalogs are mailed multiple times to the same household, etc. Automatically detecting duplicates is difficult: First, duplicate representations are usually not identical but slightly differ in their values. Second, in principle all pairs of records should be compared, which is infeasible for large volumes of data. This lecture examines closely the two main components to overcome these difficulties: (i) Similarity measures are used to automatically identify duplicates when comparing two records. Well-chosen similarity measures improve the effectiveness of duplicate detection. (ii) Algorithms are developed to perform on very large volumes of data in search for duplicates. Well-designed algorithms improve the efficiency of duplicate detection. Finally, we discuss methods to evaluate the success of duplicate detection. Table of Contents: Data Cleansing: Introduction and Motivation / Problem Definition / Similarity Functions / Duplicate Detection Algorithms / Evaluating Detection Success / Conclusion and Outlook / Bibliography

Foundations Of Data Quality Management Book PDF
✏Book Title : Foundations of Data Quality Management
✏Author : Wenfei Fan
✏Publisher : Morgan & Claypool Publishers
✏Release Date : 2012
✏Pages : 218
✏ISBN : 9781608457779
✏Available Language : English, Spanish, And French

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✏Foundations of Data Quality Management Book Summary : Data quality is one of the most important problems in data management. A database system typically aims to support the creation, maintenance and use of large amount of data, focusing on the quantity of data. However, real-life data are often dirty: inconsistent, duplicated, inaccurate, incomplete, or stale. Dirty data in a database routinely generate misleading or biased analytical results and decisions, and lead to loss of revenues, credibility and customers. With this comes the need for data quality management. In contrast to traditional data management tasks, data quality management is to enable the detection and correction of errors in the data, syntactic or semantic, in order to improve the quality of the data and hence, add values to business processes. This monograph gives an overview of fundamental issues underlying central aspects of data quality, namely, data consistency, deduplication, accuracy, currency, and information completeness. We promote a uniform logical framework for dealing with these issues, based on data quality rules. The text is organized into seven chapters, focusing on relational data. Chapter 1 introduces data quality issues. A conditional dependency theory is developed in Chapter 2, for capturing data inconsistencies. It is followed by practical techniques in Chapter 3 for discovering conditional dependencies, and for detecting inconsistencies and repairing data based on conditional dependencies. Matching dependencies are introduced in Chapter 4, as matching rules for data deduplication. A theory of relative information completeness is studied in Chapter 5, revising the classical Closed World Assumption and the Open World Assumption, to characterize incomplete information in the real world. A data currency model is presented in Chapter 6, to identify the current values of entities in a database and to answer queries with the current values, in the absence of reliable timestamps. Finally, interactions between these data quality issues are explored in Chapter 7. Important theoretical results and practical algorithms are covered, but formal proofs are omitted. The bibliographical notes contain pointers to papers in which the results were presented and proved, as well as references to materials for further reading. This text is intended for a seminar course at the graduate level. It is also to serve as a useful resource for researchers and practitioners who are interested in the study of data quality. The fundamental research on data quality draws on several areas, including mathematical logic, computational complexity and database theory. It has raised as many questions as it has answered, and is a rich source of questions and vitality.

Mining Social Networks And Security Informatics Book PDF
✏Book Title : Mining Social Networks and Security Informatics
✏Author : Tansel Özyer
✏Publisher : Springer Science & Business Media
✏Release Date : 2013-06-01
✏Pages : 283
✏ISBN : 9789400763593
✏Available Language : English, Spanish, And French

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✏Mining Social Networks and Security Informatics Book Summary : Crime, terrorism and security are in the forefront of current societal concerns. This edited volume presents research based on social network techniques showing how data from crime and terror networks can be analyzed and how information can be extracted. The topics covered include crime data mining and visualization; organized crime detection; crime network visualization; computational criminology; aspects of terror network analyses and threat prediction including cyberterrorism and the related area of dark web; privacy issues in social networks; security informatics; graph algorithms for social networks; general aspects of social networks such as pattern and anomaly detection; community discovery; link analysis and spatio-temporal network mining. These topics will be of interest to researchers and practitioners in the general area of security informatics. The volume will also serve as a general reference for readers that would want to become familiar with current research in the fast growing field of cybersecurity.

Data Warehousing And Mining Concepts Methodologies Tools And Applications Book PDF
✏Book Title : Data Warehousing and Mining Concepts Methodologies Tools and Applications
✏Author : Wang, John
✏Publisher : IGI Global
✏Release Date : 2008-05-31
✏Pages : 4092
✏ISBN : 9781599049526
✏Available Language : English, Spanish, And French

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✏Data Warehousing and Mining Concepts Methodologies Tools and Applications Book Summary : In recent years, the science of managing and analyzing large datasets has emerged as a critical area of research. In the race to answer vital questions and make knowledgeable decisions, impressive amounts of data are now being generated at a rapid pace, increasing the opportunities and challenges associated with the ability to effectively analyze this data.

Handbook Of Research On Fuzzy Information Processing In Databases Book PDF
✏Book Title : Handbook of Research on Fuzzy Information Processing in Databases
✏Author : Galindo, Jos‚
✏Publisher : IGI Global
✏Release Date : 2008-05-31
✏Pages : 899
✏ISBN : 9781599048543
✏Available Language : English, Spanish, And French

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✏Handbook of Research on Fuzzy Information Processing in Databases Book Summary : "This book provides comprehensive coverage and definitions of the most important issues, concepts, trends, and technologies in fuzzy topics applied to databases, discussing current investigation into uncertainty and imprecision management by means of fuzzy sets and fuzzy logic in the field of databases and data mining. It offers a guide to fuzzy information processing in databases"--Provided by publisher.

Progressive Methods In Data Warehousing And Business Intelligence Concepts And Competitive Analytics Book PDF
✏Book Title : Progressive Methods in Data Warehousing and Business Intelligence Concepts and Competitive Analytics
✏Author : Taniar, David
✏Publisher : IGI Global
✏Release Date : 2009-02-28
✏Pages : 390
✏ISBN : 9781605662336
✏Available Language : English, Spanish, And French

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✏Progressive Methods in Data Warehousing and Business Intelligence Concepts and Competitive Analytics Book Summary : Provides developments and research, as well as current innovative activities in data warehousing and mining, focusing on the intersection of data warehousing and business intelligence.

Proceedings Of Acm Ieee Cs Joint Conference On Digital Libraries Book PDF
✏Book Title : Proceedings of ACM IEEE CS Joint Conference on Digital Libraries
✏Author :
✏Publisher :
✏Release Date : 2007
✏Pages :
✏ISBN : UOM:39015047883700
✏Available Language : English, Spanish, And French

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✏Proceedings of ACM IEEE CS Joint Conference on Digital Libraries Book Summary :

Database Systems For Advanced Applications Book PDF
✏Book Title : Database Systems for Advanced Applications
✏Author : Hiroyuki Kitagawa
✏Publisher : Springer Science & Business Media
✏Release Date : 2010-03-18
✏Pages : 646
✏ISBN : 9783642120251
✏Available Language : English, Spanish, And French

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✏Database Systems for Advanced Applications Book Summary : This two volume set LNCS 5981 and LNCS 5982 constitutes the refereed proceedings of the 15th International Conference on Database Systems for Advanced Applications, DASFAA 2010, held in Tsukuba, Japan, in April 2010. The 39 revised full papers and 16 revised short papers presented together with 3 invited keynote papers, 22 demonstration papers, 6 industrial papers, and 2 keynote talks were carefully reviewed and selected from 285 submissions. The papers of the first volume are organized in topical sections on P2P-based technologies, data mining technologies, XML search and matching, graphs, spatialdatabases, XML technologies, time series and streams, advanced data mining, query processing, Web, sensor networks and communications, information management, as well as communities and Web graphs. The second volume contains contributions related to trajectories and moving objects, skyline queries, privacy and security, data streams, similarity search and event processing, storage and advanced topics, industrial, demo papers, and tutorials and panels.

Advances In Knowledge Discovery And Data Mining Book PDF
✏Book Title : Advances in Knowledge Discovery and Data Mining
✏Author : Takashi Washio
✏Publisher : Springer Science & Business Media
✏Release Date : 2008-05-08
✏Pages : 1102
✏ISBN : 9783540681243
✏Available Language : English, Spanish, And French

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✏Advances in Knowledge Discovery and Data Mining Book Summary : This book constitutes the refereed proceedings of the 12th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2008, held in Osaka, Japan, in May 2008. The 37 revised long papers, 40 revised full papers, and 36 revised short papers presented together with 1 keynote talk and 4 invited lectures were carefully reviewed and selected from 312 submissions. The papers present new ideas, original research results, and practical development experiences from all KDD-related areas including data mining, data warehousing, machine learning, databases, statistics, knowledge acquisition, automatic scientific discovery, data visualization, causal induction, and knowledge-based systems.

The Practitioner S Guide To Data Quality Improvement Book PDF
✏Book Title : The Practitioner s Guide to Data Quality Improvement
✏Author : David Loshin
✏Publisher : Elsevier
✏Release Date : 2010-11-22
✏Pages : 432
✏ISBN : 0080920349
✏Available Language : English, Spanish, And French

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✏The Practitioner s Guide to Data Quality Improvement Book Summary : The Practitioner's Guide to Data Quality Improvement offers a comprehensive look at data quality for business and IT, encompassing people, process, and technology. It shares the fundamentals for understanding the impacts of poor data quality, and guides practitioners and managers alike in socializing, gaining sponsorship for, planning, and establishing a data quality program. It demonstrates how to institute and run a data quality program, from first thoughts and justifications to maintenance and ongoing metrics. It includes an in-depth look at the use of data quality tools, including business case templates, and tools for analysis, reporting, and strategic planning. This book is recommended for data management practitioners, including database analysts, information analysts, data administrators, data architects, enterprise architects, data warehouse engineers, and systems analysts, and their managers. Offers a comprehensive look at data quality for business and IT, encompassing people, process, and technology. Shows how to institute and run a data quality program, from first thoughts and justifications to maintenance and ongoing metrics. Includes an in-depth look at the use of data quality tools, including business case templates, and tools for analysis, reporting, and strategic planning.

Healthcare Business Intelligence Book PDF
✏Book Title : Healthcare Business Intelligence
✏Author : Laura Madsen
✏Publisher : John Wiley & Sons
✏Release Date : 2012-07-20
✏Pages : 336
✏ISBN : 9781118282335
✏Available Language : English, Spanish, And French

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✏Healthcare Business Intelligence Book Summary : Solid business intelligence guidance uniquely designed for healthcare organizations Increasing regulatory pressures on healthcare organizations have created a national conversation on data, reporting and analytics in healthcare. Behind the scenes, business intelligence (BI) and data warehousing (DW) capabilities are key drivers that empower these functions. Healthcare Business Intelligence is designed as a guidebook for healthcare organizations dipping their toes into the areas of business intelligence and data warehousing. This volume is essential in how a BI capability can ease the increasing regulatory reporting pressures on all healthcare organizations. Explores the five tenets of healthcare business intelligence Offers tips for creating a BI team Identifies what healthcare organizations should focus on first Shows you how to gain support for your BI program Provides tools and techniques that will jump start your BI Program Explains how to market and maintain your BI Program The risk associated with doing BI/DW wrong is high, and failures are well documented. Healthcare Business Intelligence helps you get it right, with expert guidance on getting your BI program started and successfully keep it going.

Database Repairs And Consistent Query Answering Book PDF
✏Book Title : Database Repairs and Consistent Query Answering
✏Author : Leopoldo Bertossi
✏Publisher : Morgan & Claypool Publishers
✏Release Date : 2011-09-09
✏Pages : 121
✏ISBN : 9781608457632
✏Available Language : English, Spanish, And French

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✏Database Repairs and Consistent Query Answering Book Summary : Integrity constraints are semantic conditions that a database should satisfy in order to be an appropriate model of external reality. In practice, and for many reasons, a database may not satisfy those integrity constraints, and for that reason it is said to be inconsistent. However, and most likely, a large portion of the database is still semantically correct, in a sense that has to be made precise. After having provided a formal characterization of consistent data in an inconsistent database, the natural problem emerges of extracting that semantically correct data, as query answers. The consistent data in an inconsistent database is usually characterized as the data that persists across all the database instances that are consistent and minimally differ from the inconsistent instance. Those are the so-called repairs of the database. In particular, the consistent answers to a query posed to the inconsistent database are those answers that can be simultaneously obtained from all the database repairs. As expected, the notion of repair requires an adequate notion of distance that allows for the comparison of databases with respect to how much they differ from the inconsistent instance. On this basis, the minimality condition on repairs can be properly formulated. In this monograph we present and discuss these fundamental concepts, different repair semantics, algorithms for computing consistent answers to queries, and also complexity-theoretic results related to the computation of repairs and doing consistent query answering. Table of Contents: Introduction / The Notions of Repair and Consistent Answer / Tractable CQA and Query Rewriting / Logically Specifying Repairs / Decision Problems in CQA: Complexity and Algorithms / Repairs and Data Cleaning

Advances In Knowledge Discovery And Data Mining Book PDF
✏Book Title : Advances in Knowledge Discovery and Data Mining
✏Author : Jian Pei
✏Publisher : Springer
✏Release Date : 2013-04-05
✏Pages : 588
✏ISBN : 9783642374562
✏Available Language : English, Spanish, And French

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✏Advances in Knowledge Discovery and Data Mining Book Summary : The two-volume set LNAI 7818 + LNAI 7819 constitutes the refereed proceedings of the 17th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2013, held in Gold Coast, Australia, in April 2013. The total of 98 papers presented in these proceedings was carefully reviewed and selected from 363 submissions. They cover the general fields of data mining and KDD extensively, including pattern mining, classification, graph mining, applications, machine learning, feature selection and dimensionality reduction, multiple information sources mining, social networks, clustering, text mining, text classification, imbalanced data, privacy-preserving data mining, recommendation, multimedia data mining, stream data mining, data preprocessing and representation.

Master Data Management And Data Governance 2 E Book PDF
✏Book Title : MASTER DATA MANAGEMENT AND DATA GOVERNANCE 2 E
✏Author : Alex Berson
✏Publisher : McGraw Hill Professional
✏Release Date : 2010-12-06
✏Pages : 512
✏ISBN : 9780071744591
✏Available Language : English, Spanish, And French

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✏MASTER DATA MANAGEMENT AND DATA GOVERNANCE 2 E Book Summary : The latest techniques for building a customer-focused enterprise environment "The authors have appreciated that MDM is a complex multidimensional area, and have set out to cover each of these dimensions in sufficient detail to provide adequate practical guidance to anyone implementing MDM. While this necessarily makes the book rather long, it means that the authors achieve a comprehensive treatment of MDM that is lacking in previous works." -- Malcolm Chisholm, Ph.D., President, AskGet.com Consulting, Inc. Regain control of your master data and maintain a master-entity-centric enterprise data framework using the detailed information in this authoritative guide. Master Data Management and Data Governance, Second Edition provides up-to-date coverage of the most current architecture and technology views and system development and management methods. Discover how to construct an MDM business case and roadmap, build accurate models, deploy data hubs, and implement layered security policies. Legacy system integration, cross-industry challenges, and regulatory compliance are also covered in this comprehensive volume. Plan and implement enterprise-scale MDM and Data Governance solutions Develop master data model Identify, match, and link master records for various domains through entity resolution Improve efficiency and maximize integration using SOA and Web services Ensure compliance with local, state, federal, and international regulations Handle security using authentication, authorization, roles, entitlements, and encryption Defend against identity theft, data compromise, spyware attack, and worm infection Synchronize components and test data quality and system performance

📒Data Engineering ✍ Yupo Chan

Data Engineering Book PDF
✏Book Title : Data Engineering
✏Author : Yupo Chan
✏Publisher : Springer Science & Business Media
✏Release Date : 2009-10-15
✏Pages : 447
✏ISBN : 1441901760
✏Available Language : English, Spanish, And French

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✏Data Engineering Book Summary : DATA ENGINEERING: Mining, Information, and Intelligence describes applied research aimed at the task of collecting data and distilling useful information from that data. Most of the work presented emanates from research completed through collaborations between Acxiom Corporation and its academic research partners under the aegis of the Acxiom Laboratory for Applied Research (ALAR). Chapters are roughly ordered to follow the logical sequence of the transformation of data from raw input data streams to refined information. Four discrete sections cover Data Integration and Information Quality; Grid Computing; Data Mining; and Visualization. Additionally, there are exercises at the end of each chapter. The primary audience for this book is the broad base of anyone interested in data engineering, whether from academia, market research firms, or business-intelligence companies. The volume is ideally suited for researchers, practitioners, and postgraduate students alike. With its focus on problems arising from industry rather than a basic research perspective, combined with its intelligent organization, extensive references, and subject and author indices, it can serve the academic, research, and industrial audiences.

Mining Heterogeneous Information Networks Book PDF
✏Book Title : Mining Heterogeneous Information Networks
✏Author : Yizhou Sun
✏Publisher : Morgan & Claypool Publishers
✏Release Date : 2012-08-15
✏Pages : 126
✏ISBN : 9781608458813
✏Available Language : English, Spanish, And French

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✏Mining Heterogeneous Information Networks Book Summary : Real-world physical and abstract data objects are interconnected, forming gigantic, interconnected networks. By structuring these data objects and interactions between these objects into multiple types, such networks become semi-structured heterogeneous information networks. Most real-world applications that handle big data, including interconnected social media and social networks, scientific, engineering, or medical information systems, online e-commerce systems, and most database systems, can be structured into heterogeneous information networks. Therefore, effective analysis of large-scale heterogeneous information networks poses an interesting but critical challenge. In this book, we investigate the principles and methodologies of mining heterogeneous information networks. Departing from many existing network models that view interconnected data as homogeneous graphs or networks, our semi-structured heterogeneous information network model leverages the rich semantics of typed nodes and links in a network and uncovers surprisingly rich knowledge from the network. This semi-structured heterogeneous network modeling leads to a series of new principles and powerful methodologies for mining interconnected data, including: (1) rank-based clustering and classification; (2) meta-path-based similarity search and mining; (3) relation strength-aware mining, and many other potential developments. This book introduces this new research frontier and points out some promising research directions. Table of Contents: Introduction / Ranking-Based Clustering / Classification of Heterogeneous Information Networks / Meta-Path-Based Similarity Search / Meta-Path-Based Relationship Prediction / Relation Strength-Aware Clustering with Incomplete Attributes / User-Guided Clustering via Meta-Path Selection / Research Frontiers

Web Age Information Management Book PDF
✏Book Title : Web Age Information Management
✏Author : Xiaohui Yu
✏Publisher :
✏Release Date : 2015
✏Pages :
✏ISBN : 3319210432
✏Available Language : English, Spanish, And French

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✏Web Age Information Management Book Summary : This book constitutes the refereed proceedings of the 16th International Conference on Web-Age Information Management, WAIM 2015, held in Qingdao, China, in June 2015. The 33 full research papers, 31 short research papers, and 6 demonstrations were carefully reviewed and selected from 164 submissions. The focus of the conference is on following topics: advanced database and web applications, big data analytics big data management, caching and replication, cloud computing, content management, crowdsourcing data and information quality, data management for mobile and pervasive computing, data management on new hardware, data mining, data provenance and workflow, data warehousing and OLAP, deep web, digital libraries, entity resolution and entity linking, and graph data management, and RDF.

Information Quality Management Book PDF
✏Book Title : Information Quality Management
✏Author : Guy V. Tozer
✏Publisher : Wiley-Blackwell
✏Release Date : 1994
✏Pages : 172
✏ISBN : UOM:39015033957450
✏Available Language : English, Spanish, And French

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✏Information Quality Management Book Summary : As business enterprises become ever more dependent in their decision making upon the quality of the data being gathered and processed by information systems, so there are increasing concerns over the ability of the data providers to sustain a consistent level of quality.

33rd International Conference On Very Large Data Bases Book PDF
✏Book Title : 33rd International Conference on Very Large Data Bases
✏Author :
✏Publisher :
✏Release Date : 2007
✏Pages : 1437
✏ISBN : 1604239573
✏Available Language : English, Spanish, And French

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✏33rd International Conference on Very Large Data Bases Book Summary :

📒C2 Re Envisioned ✍ Marius S. Vassiliou

C2 Re Envisioned Book PDF
✏Book Title : C2 Re envisioned
✏Author : Marius S. Vassiliou
✏Publisher : CRC Press
✏Release Date : 2014-12-08
✏Pages : 316
✏ISBN : 9781466595804
✏Available Language : English, Spanish, And French

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✏C2 Re envisioned Book Summary : Command and Control (C2) is the set of organizational and technical attributes and processes by which an enterprise marshals and employs human, physical, and information resources to solve problems and accomplish missions.C2 Re-envisioned: The Future of the Enterprise identifies four interrelated megatrends that are individually and collectively shaping the state of the art and practice of C2 as well as the mission challenges we face. These megatrends the book examines are: Big Problems—manifested in part as increasing complexity of both endeavors and enterprises, as military establishments form coalitions with each other, and partnerships with various civilian agencies and non-governmental organizations Robustly Networked Environments—enabled by the extremely broad availability of advanced information and communications technologies (ICT) that place unprecedented powers of information creation, processing, and distribution in the hands of almost anyone who wants them—friend and foe alike Ubiquitous Data—the unprecedented volumes of raw and processed information with which human actors and C2 systems must contend Organizational alternatives—as decentralized, net-enabled approaches to C2 have been made more feasible by technology. The book analyzes historical examples and experimental evidence to determine the critical factors that make C2 go wrong and how to get it right. Successful enterprises in the future will be those that can reconfigure their approaches in an agile manner. Offering fresh perspectives on this subject of critical importance, this book provides the understanding you will need to choose your organizational approaches to suit the mission and the conditions at hand.