Data Mining And Knowledge Discovery For Geoscientists

Data Mining And Knowledge Discovery For Geoscientists Book PDF
✏Book Title : Data Mining and Knowledge Discovery for Geoscientists
✏Author : Guangren Shi
✏Publisher : Elsevier
✏Release Date : 2013-10-09
✏Pages : 376
✏ISBN : 9780124104754
✏Available Language : English, Spanish, And French

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✏Data Mining and Knowledge Discovery for Geoscientists Book Summary : Currently there are major challenges in data mining applications in the geosciences. This is due primarily to the fact that there is a wealth of available mining data amid an absence of the knowledge and expertise necessary to analyze and accurately interpret the same data. Most geoscientists have no practical knowledge or experience using data mining techniques. For the few that do, they typically lack expertise in using data mining software and in selecting the most appropriate algorithms for a given application. This leads to a paradoxical scenario of "rich data but poor knowledge". The true solution is to apply data mining techniques in geosciences databases and to modify these techniques for practical applications. Authored by a global thought leader in data mining, Data Mining and Knowledge Discovery for Geoscientists addresses these challenges by summarizing the latest developments in geosciences data mining and arming scientists with the ability to apply key concepts to effectively analyze and interpret vast amounts of critical information. Focuses on 22 of data mining’s most practical algorithms and popular application samples Features 36 case studies and end-of-chapter exercises unique to the geosciences to underscore key data mining applications Presents a practical and integrated system of data mining and knowledge discovery for geoscientists Rigorous yet broadly accessible to geoscientists, engineers, researchers and programmers in data mining Introduces widely used algorithms, their basic principles and conditions of applications, diverse case studies, and suggests algorithms that may be suitable for specific applications

Scientific Data Mining And Knowledge Discovery Book PDF
✏Book Title : Scientific Data Mining and Knowledge Discovery
✏Author : Mohamed Medhat Gaber
✏Publisher : Springer Science & Business Media
✏Release Date : 2009-09-19
✏Pages : 400
✏ISBN : 9783642027888
✏Available Language : English, Spanish, And French

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✏Scientific Data Mining and Knowledge Discovery Book Summary : Mohamed Medhat Gaber “It is not my aim to surprise or shock you – but the simplest way I can summarise is to say that there are now in the world machines that think, that learn and that create. Moreover, their ability to do these things is going to increase rapidly until – in a visible future – the range of problems they can handle will be coextensive with the range to which the human mind has been applied” by Herbert A. Simon (1916-2001) 1Overview This book suits both graduate students and researchers with a focus on discovering knowledge from scienti c data. The use of computational power for data analysis and knowledge discovery in scienti c disciplines has found its roots with the re- lution of high-performance computing systems. Computational science in physics, chemistry, and biology represents the rst step towards automation of data analysis tasks. The rational behind the developmentof computationalscience in different - eas was automating mathematical operations performed in those areas. There was no attention paid to the scienti c discovery process. Automated Scienti c Disc- ery (ASD) [1–3] represents the second natural step. ASD attempted to automate the process of theory discovery supported by studies in philosophy of science and cognitive sciences. Although early research articles have shown great successes, the area has not evolved due to many reasons. The most important reason was the lack of interaction between scientists and the automating systems.

Geographic Data Mining And Knowledge Discovery Book PDF
✏Book Title : Geographic Data Mining and Knowledge Discovery
✏Author : Harvey J. Miller
✏Publisher : CRC Press
✏Release Date : 2001-10-11
✏Pages : 372
✏ISBN : UOM:39015053172154
✏Available Language : English, Spanish, And French

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✏Geographic Data Mining and Knowledge Discovery Book Summary : Advances in automated data collection are creating massive databases and a whole new field, Knowledge Discovery Databases (KDD), has emerged to develop new methods of managing and exploiting them. Geographic Data Mining and Knowledge Discovery is the interrogation of large databases using efficient computational methods. The unique challenges brought about by the storing of massive geographical databases - from high resolution satellite-based systems to data from intelligent transportation systems, for example - has led to the field of Geographical Knowledge Discovery (GKD). Geographic or spatial data mining is the exploration of these geographical information databases. Developed out of contributions to the highly-respected Varenius Project in 1999, this collection will be the definitive volume focusing on GKD and addresses the special challenges to be found in knowledge discovery and data mining from geographic databases.

📒Geoinformatics ✍ A. Krishna Sinha

Geoinformatics Book PDF
✏Book Title : Geoinformatics
✏Author : A. Krishna Sinha
✏Publisher : Geological Society of America
✏Release Date : 2006-01-01
✏Pages : 282
✏ISBN : 9780813723976
✏Available Language : English, Spanish, And French

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✏Geoinformatics Book Summary : "The science of informatics in the broadest sense has been several thousands of years in the making. With the recent emergence of large storage devices and high-speed processing of data, it has become possible to organize vast amounts of data as digital products with ontologic tags and concepts for smart queries. Coupling this computational capability with earth science data defines the emerging field of geoinformatics. Since the science of geology was established several centuries ago, observations led to conclusions that were integrative in concept and clearly had profound implications for the birth of geology. As disciplinary information about Earth becomes more voluminous, the use of geoinformatics will lead to integrative, science-based discoveries of new knowledge about planetary systems. Twenty one research papers, co-authored by 96 researchers from both earth and computer sciences, provide the first-ever organized presentation of the science of informatics as it relates to geology. Readers will readily recognize the vast intellectual content represented by these papers as they seek to address the core research goals of geoinformatics."--Publisher's website.

Large Scale Machine Learning In The Earth Sciences Book PDF
✏Book Title : Large Scale Machine Learning in the Earth Sciences
✏Author : Ashok N. Srivastava
✏Publisher : CRC Press
✏Release Date : 2017-08-01
✏Pages : 208
✏ISBN : 9781315354460
✏Available Language : English, Spanish, And French

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✏Large Scale Machine Learning in the Earth Sciences Book Summary : From the Foreword: "While large-scale machine learning and data mining have greatly impacted a range of commercial applications, their use in the field of Earth sciences is still in the early stages. This book, edited by Ashok Srivastava, Ramakrishna Nemani, and Karsten Steinhaeuser, serves as an outstanding resource for anyone interested in the opportunities and challenges for the machine learning community in analyzing these data sets to answer questions of urgent societal interest...I hope that this book will inspire more computer scientists to focus on environmental applications, and Earth scientists to seek collaborations with researchers in machine learning and data mining to advance the frontiers in Earth sciences." --Vipin Kumar, University of Minnesota Large-Scale Machine Learning in the Earth Sciences provides researchers and practitioners with a broad overview of some of the key challenges in the intersection of Earth science, computer science, statistics, and related fields. It explores a wide range of topics and provides a compilation of recent research in the application of machine learning in the field of Earth Science. Making predictions based on observational data is a theme of the book, and the book includes chapters on the use of network science to understand and discover teleconnections in extreme climate and weather events, as well as using structured estimation in high dimensions. The use of ensemble machine learning models to combine predictions of global climate models using information from spatial and temporal patterns is also explored. The second part of the book features a discussion on statistical downscaling in climate with state-of-the-art scalable machine learning, as well as an overview of methods to understand and predict the proliferation of biological species due to changes in environmental conditions. The problem of using large-scale machine learning to study the formation of tornadoes is also explored in depth. The last part of the book covers the use of deep learning algorithms to classify images that have very high resolution, as well as the unmixing of spectral signals in remote sensing images of land cover. The authors also apply long-tail distributions to geoscience resources, in the final chapter of the book.

Machine Learning Techniques Applied To Geoscience Information System And Remote Sensing Book PDF
✏Book Title : Machine Learning Techniques Applied to Geoscience Information System and Remote Sensing
✏Author : Hyung-Sup Jung
✏Publisher : MDPI
✏Release Date : 2019-09-03
✏Pages : 438
✏ISBN : 9783039212156
✏Available Language : English, Spanish, And French

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✏Machine Learning Techniques Applied to Geoscience Information System and Remote Sensing Book Summary : As computer and space technologies have been developed, geoscience information systems (GIS) and remote sensing (RS) technologies, which deal with the geospatial information, have been rapidly maturing. Moreover, over the last few decades, machine learning techniques including artificial neural network (ANN), deep learning, decision tree, and support vector machine (SVM) have been successfully applied to geospatial science and engineering research fields. The machine learning techniques have been widely applied to GIS and RS research fields and have recently produced valuable results in the areas of geoscience, environment, natural hazards, and natural resources. This book is a collection representing novel contributions detailing machine learning techniques as applied to geoscience information systems and remote sensing.

Advances In Data Mining Knowledge Discovery And Applications Book PDF
✏Book Title : Advances in Data Mining Knowledge Discovery and Applications
✏Author : Adem Karahoca
✏Publisher : BoD – Books on Demand
✏Release Date : 2012-09-12
✏Pages : 402
✏ISBN : 9789535107484
✏Available Language : English, Spanish, And French

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✏Advances in Data Mining Knowledge Discovery and Applications Book Summary : Advances in Data Mining Knowledge Discovery and Applications aims to help data miners, researchers, scholars, and PhD students who wish to apply data mining techniques. The primary contribution of this book is highlighting frontier fields and implementations of the knowledge discovery and data mining. It seems to be same things are repeated again. But in general, same approach and techniques may help us in different fields and expertise areas. This book presents knowledge discovery and data mining applications in two different sections. As known that, data mining covers areas of statistics, machine learning, data management and databases, pattern recognition, artificial intelligence, and other areas. In this book, most of the areas are covered with different data mining applications. The eighteen chapters have been classified in two parts: Knowledge Discovery and Data Mining Applications.

Knowledge Discovery In Spatial Data Book PDF
✏Book Title : Knowledge Discovery in Spatial Data
✏Author : Yee Leung
✏Publisher : Springer Science & Business Media
✏Release Date : 2010-03-14
✏Pages : 360
✏ISBN : 3642026648
✏Available Language : English, Spanish, And French

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✏Knowledge Discovery in Spatial Data Book Summary : When I ?rst came across the term data mining and knowledge discovery in databases, I was excited and curious to ?nd out what it was all about. I was excited because the term tends to convey a new ?eld that is in the making. I was curious because I wondered what it was doing that the other ?elds of research, such as statistics and the broad ?eld of arti?cial intelligence, were not doing. After reading up on the literature, I have come to realize that it is not much different from conventional data analysis. The commonly used de?nition of knowledge discovery in databases: “the non-trivial process of identifying valid, novel, potentially useful, and ultimately understandable patterns in data” is actually in line with the core mission of conventional data analysis. The process employed by conventional data analysis is by no means trivial, and the patterns in data to be unraveled have, of course, to be valid, novel, useful and understandable. Therefore, what is the commotion all about? Careful scrutiny of the main lines of research in data mining and knowledge discovery again told me that they are not much different from that of conventional data analysis. Putting aside data warehousing and database m- agement aspects, again a main area of research in conventional database research, the rest of the tasks in data mining are largely the main concerns of conventional data analysis.

Data Mining And Knowledge Discovery Book PDF
✏Book Title : Data Mining and Knowledge Discovery
✏Author :
✏Publisher :
✏Release Date : 2003
✏Pages :
✏ISBN : UOM:39015047930691
✏Available Language : English, Spanish, And French

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✏Data Mining and Knowledge Discovery Book Summary :

Artificial Intelligent Approaches In Petroleum Geosciences Book PDF
✏Book Title : Artificial Intelligent Approaches in Petroleum Geosciences
✏Author : Constantin Cranganu
✏Publisher : Springer
✏Release Date : 2015-04-20
✏Pages : 290
✏ISBN : 9783319165318
✏Available Language : English, Spanish, And French

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✏Artificial Intelligent Approaches in Petroleum Geosciences Book Summary : This book presents several intelligent approaches for tackling and solving challenging practical problems facing those in the petroleum geosciences and petroleum industry. Written by experienced academics, this book offers state-of-the-art working examples and provides the reader with exposure to the latest developments in the field of intelligent methods applied to oil and gas research, exploration and production. It also analyzes the strengths and weaknesses of each method presented using benchmarking, whilst also emphasizing essential parameters such as robustness, accuracy, speed of convergence, computer time, overlearning and the role of normalization. The intelligent approaches presented include artificial neural networks, fuzzy logic, active learning method, genetic algorithms and support vector machines, amongst others. Integration, handling data of immense size and uncertainty, and dealing with risk management are among crucial issues in petroleum geosciences. The problems we have to solve in this domain are becoming too complex to rely on a single discipline for effective solutions and the costs associated with poor predictions (e.g. dry holes) increase. Therefore, there is a need to establish a new approach aimed at proper integration of disciplines (such as petroleum engineering, geology, geophysics and geochemistry), data fusion, risk reduction and uncertainty management. These intelligent techniques can be used for uncertainty analysis, risk assessment, data fusion and mining, data analysis and interpretation, and knowledge discovery, from diverse data such as 3-D seismic, geological data, well logging, and production data. This book is intended for petroleum scientists, data miners, data scientists and professionals and post-graduate students involved in petroleum industry.

Data Mining For Geoinformatics Book PDF
✏Book Title : Data Mining for Geoinformatics
✏Author : Guido Cervone
✏Publisher : Springer Science & Business Media
✏Release Date : 2013-08-16
✏Pages : 166
✏ISBN : 9781461476696
✏Available Language : English, Spanish, And French

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✏Data Mining for Geoinformatics Book Summary : The rate at which geospatial data is being generated exceeds our computational capabilities to extract patterns for the understanding of a dynamically changing world. Geoinformatics and data mining focuses on the development and implementation of computational algorithms to solve these problems. This unique volume contains a collection of chapters on state-of-the-art data mining techniques applied to geoinformatic problems of high complexity and important societal value. Data Mining for Geoinformatics addresses current concerns and developments relating to spatio-temporal data mining issues in remotely-sensed data, problems in meteorological data such as tornado formation, estimation of radiation from the Fukushima nuclear power plant, simulations of traffic data using OpenStreetMap, real time traffic applications of data stream mining, visual analytics of traffic and weather data and the exploratory visualization of collective, mobile objects such as the flocking behavior of wild chickens. This book is designed for researchers and advanced-level students focused on computer science, earth science and geography as a reference or secondary text book. Practitioners working in the areas of data mining and geoscience will also find this book to be a valuable reference.

📒Geoscience Information ✍ Geoscience Information Society. Meeting

Geoscience Information Book PDF
✏Book Title : Geoscience Information
✏Author : Geoscience Information Society. Meeting
✏Publisher :
✏Release Date : 2002
✏Pages : 201
✏ISBN : UCSD:31822009565185
✏Available Language : English, Spanish, And French

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✏Geoscience Information Book Summary :

Telsiks 2003 Book PDF
✏Book Title : TELSIKS 2003
✏Author :
✏Publisher :
✏Release Date : 2003
✏Pages : 436
✏ISBN : 8680135771
✏Available Language : English, Spanish, And French

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✏TELSIKS 2003 Book Summary :

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.

Advances In Knowledge Discovery And Data Mining Book PDF
✏Book Title : Advances in Knowledge Discovery and Data Mining
✏Author : Vincent S. Tseng
✏Publisher : Springer
✏Release Date : 2014-05-08
✏Pages : 624
✏ISBN : 9783319066059
✏Available Language : English, Spanish, And French

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✏Advances in Knowledge Discovery and Data Mining Book Summary : The two-volume set LNAI 8443 + LNAI 8444 constitutes the refereed proceedings of the 18th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2014, held in Tainan, Taiwan, in May 2014. The 40 full papers and the 60 short papers presented within these proceedings were carefully reviewed and selected from 371 submissions. They cover the general fields of pattern mining; social network and social media; classification; graph and network mining; applications; privacy preserving; recommendation; feature selection and reduction; machine learning; temporal and spatial data; novel algorithms; clustering; biomedical data mining; stream mining; outlier and anomaly detection; multi-sources mining; and unstructured data and text mining.

Information Technology Applications In Industry Ii Book PDF
✏Book Title : Information Technology Applications in Industry II
✏Author : Prasad Yarlagadda
✏Publisher : Trans Tech Publications Ltd
✏Release Date : 2013-09-03
✏Pages : 3488
✏ISBN : 9783038262459
✏Available Language : English, Spanish, And French

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✏Information Technology Applications in Industry II Book Summary : Collection of selected, peer reviewed papers from the 2013 2nd International Conference on Information Technology and Management Innovation (ICITMI 2013), July 23-24, 2013, Zhuhai, China. Volume is indexed by Thomson Reuters CPCI-S (WoS). The 642 papers are grouped as follows: Chapter 1: Information Processing and Information Security; Chapter 2: Information Storage and Database System; Chapter 3: Software Engineering; Chapter 4: Computer Networks; Chapter 5: Modern Technologies in Communication and Navigation; Chapter 6: Multimedia Technology; Chapter 7: Data and Signal Processing; Chapter 8: Processing Image and Video; Chapter 9: Applied and Computational Mathematics; Chapter 10: Sensors, Detection Technology and Instrument; Chapter 11: Circuit Theory and Microelectronic Devices and Technologies; Chapter 12: Automation, Control and Mechatronics; Chapter 13: Artificial Intelligence and Optimization Algorithm; Chapter 14: E-commerce, E-government and Management; Chapter 15: Enterprise Resource Planning, Management System and Engineering Management; Chapter 16: Innovative Decisions in Transportation, Supply Chain and Logistic; Chapter 17: Information and Innovation Technologies in Engineering Education; Chapter 18: Applied Research in Materials, Mechanical Engineering and Technologies of Manufacture and Processing; Chapter 19: Applied Biotechnologies.

Soft Computing For Knowledge Discovery And Data Mining Book PDF
✏Book Title : Soft Computing for Knowledge Discovery and Data Mining
✏Author : Oded Maimon
✏Publisher : Springer Science & Business Media
✏Release Date : 2007-10-25
✏Pages : 433
✏ISBN : 9780387699356
✏Available Language : English, Spanish, And French

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✏Soft Computing for Knowledge Discovery and Data Mining Book Summary : Data Mining is the science and technology of exploring large and complex bodies of data in order to discover useful patterns. It is extremely important because it enables modeling and knowledge extraction from abundant data availability. This book introduces soft computing methods extending the envelope of problems that data mining can solve efficiently. It presents practical soft-computing approaches in data mining and includes various real-world case studies with detailed results.

Recent Advances In Data Mining Of Enterprise Data Book PDF
✏Book Title : Recent Advances in Data Mining of Enterprise Data
✏Author : T. Warren Liao
✏Publisher : World Scientific
✏Release Date : 2008-01-15
✏Pages : 786
✏ISBN : 9789812779861
✏Available Language : English, Spanish, And French

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✏Recent Advances in Data Mining of Enterprise Data Book Summary : The main goal of the new field of data mining is the analysis of large and complex datasets. Some very important datasets may be derived from business and industrial activities. This kind of data is known as OC enterprise dataOCO. The common characteristic of such datasets is that the analyst wishes to analyze them for the purpose of designing a more cost-effective strategy for optimizing some type of performance measure, such as reducing production time, improving quality, eliminating wastes, or maximizing profit. Data in this category may describe different scheduling scenarios in a manufacturing environment, quality control of some process, fault diagnosis in the operation of a machine or process, risk analysis when issuing credit to applicants, management of supply chains in a manufacturing system, or data for business related decision-making. Sample Chapter(s). Foreword (37 KB). Chapter 1: Enterprise Data Mining: A Review and Research Directions (655 KB). Contents: Enterprise Data Mining: A Review and Research Directions (T W Liao); Application and Comparison of Classification Techniques in Controlling Credit Risk (L Yu et al.); Predictive Classification with Imbalanced Enterprise Data (S Daskalaki et al.); Data Mining Applications of Process Platform Formation for High Variety Production (J Jiao & L Zhang); Multivariate Control Charts from a Data Mining Perspective (G C Porzio & G Ragozini); Maintenance Planning Using Enterprise Data Mining (L P Khoo et al.); Mining Images of Cell-Based Assays (P Perner); Support Vector Machines and Applications (T B Trafalis & O O Oladunni); A Survey of Manifold-Based Learning Methods (X Huo et al.); and other papers. Readership: Graduate students in engineering, computer science, and business schools; researchers and practioners of data mining with emphazis of enterprise data mining."

Data Mining For Scientific And Engineering Applications Book PDF
✏Book Title : Data Mining for Scientific and Engineering Applications
✏Author : R.L. Grossman
✏Publisher : Springer Science & Business Media
✏Release Date : 2001-10-31
✏Pages : 605
✏ISBN : 1402000332
✏Available Language : English, Spanish, And French

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✏Data Mining for Scientific and Engineering Applications Book Summary : Advances in technology are making massive data sets common in many scientific disciplines, such as astronomy, medical imaging, bio-informatics, combinatorial chemistry, remote sensing, and physics. To find useful information in these data sets, scientists and engineers are turning to data mining techniques. This book is a collection of papers based on the first two in a series of workshops on mining scientific datasets. It illustrates the diversity of problems and application areas that can benefit from data mining, as well as the issues and challenges that differentiate scientific data mining from its commercial counterpart. While the focus of the book is on mining scientific data, the work is of broader interest as many of the techniques can be applied equally well to data arising in business and web applications. Audience: This work would be an excellent text for students and researchers who are familiar with the basic principles of data mining and want to learn more about the application of data mining to their problem in science or engineering.

Data Mining Applications For Empowering Knowledge Societies Book PDF
✏Book Title : Data Mining Applications for Empowering Knowledge Societies
✏Author : Rahman, Hakikur
✏Publisher : IGI Global
✏Release Date : 2008-07-31
✏Pages : 356
✏ISBN : 9781599046594
✏Available Language : English, Spanish, And French

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✏Data Mining Applications for Empowering Knowledge Societies Book Summary : Presents an overview of the main issues of data mining, including its classification, regression, clustering, and ethical issues. Provides readers with knowledge enhancing processes as well as a wide spectrum of data mining applications.

Handbook Of Research On Geoinformatics Book PDF
✏Book Title : Handbook of Research on Geoinformatics
✏Author : Karimi, Hassan A.
✏Publisher : IGI Global
✏Release Date : 2009-01-31
✏Pages : 518
✏ISBN : 9781591409960
✏Available Language : English, Spanish, And French

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✏Handbook of Research on Geoinformatics Book Summary : "This book discusses the complete range of contemporary research topics such as computer modeling, geometry, geoprocessing, and geographic information systems"--Provided by publisher.

Directory Of Published Proceedings Book PDF
✏Book Title : Directory of Published Proceedings
✏Author :
✏Publisher :
✏Release Date : 2001
✏Pages :
✏ISBN : UOM:39015074109201
✏Available Language : English, Spanish, And French

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✏Directory of Published Proceedings Book Summary :

Machine Learning And Knowledge Discovery For Engineering Systems Health Management Book PDF
✏Book Title : Machine Learning and Knowledge Discovery for Engineering Systems Health Management
✏Author : Ashok N. Srivastava
✏Publisher : CRC Press
✏Release Date : 2016-04-19
✏Pages : 502
✏ISBN : 9781439841792
✏Available Language : English, Spanish, And French

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✏Machine Learning and Knowledge Discovery for Engineering Systems Health Management Book Summary : This volume presents state-of-the-art tools and techniques for automatically detecting, diagnosing, and predicting the effects of adverse events in an engineered system. It emphasizes the importance of these techniques in managing the intricate interactions within and between engineering systems to maintain a high degree of reliability. Reflecting the interdisciplinary nature of the field, the book explains how the fundamental algorithms and methods of both physics-based and data-driven approaches effectively address systems health management in application areas such as data centers, aircraft, and software systems.

Temporal Spatial And Spatio Temporal Data Mining Book PDF
✏Book Title : Temporal Spatial and Spatio Temporal Data Mining
✏Author : John F. Roddick
✏Publisher : Springer
✏Release Date : 2003-06-29
✏Pages : 172
✏ISBN : 9783540452447
✏Available Language : English, Spanish, And French

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✏Temporal Spatial and Spatio Temporal Data Mining Book Summary : This volume contains updated versions of the ten papers presented at the First International Workshop on Temporal, Spatial and Spatio-Temporal Data Mining (TSDM 2000) held in conjunction with the 4th European Conference on Prin- ples and Practice of Knowledge Discovery in Databases (PKDD 2000) in Lyons, France in September, 2000. The aim of the workshop was to bring together experts in the analysis of temporal and spatial data mining and knowledge discovery in temporal, spatial or spatio-temporal database systems as well as knowledge engineers and domain experts from allied disciplines. The workshop focused on research and practice of knowledge discovery from datasets containing explicit or implicit temporal, spatial or spatio-temporal information. The ten original papers in this volume represent those accepted by peer review following an international call for papers. All papers submitted were refereed by an international team of data mining researchers listed below. We would like to thank the team for their expert and useful help with this process. Following the workshop, authors were invited to amend their papers to enable the feedback received from the conference to be included in the ?nal papers appearing in this volume. A workshop report was compiled by Kathleen Hornsby which also discusses the panel session that was held.

Cartography And Geographic Information Science Book PDF
✏Book Title : Cartography and Geographic Information Science
✏Author :
✏Publisher :
✏Release Date : 2005
✏Pages :
✏ISBN : STANFORD:36105115019882
✏Available Language : English, Spanish, And French

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✏Cartography and Geographic Information Science Book Summary :

Preliminary Principles And Guidelines For Archiving Environmental And Geospatial Data At Noaa Book PDF
✏Book Title : Preliminary Principles and Guidelines for Archiving Environmental and Geospatial Data at NOAA
✏Author : National Research Council
✏Publisher : National Academies Press
✏Release Date : 2006-06-15
✏Pages : 38
✏ISBN : 9780309102278
✏Available Language : English, Spanish, And French

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✏Preliminary Principles and Guidelines for Archiving Environmental and Geospatial Data at NOAA Book Summary : The National Oceanic and Atmospheric Administration (NOAA) collects and manages a wide range of environmental and geospatial data to fulfill its mission requirements--data that stretch from the surface of the sun to the core of the earth, and affect every aspect of society. With limited resources and enormous growth in data volumes, NOAA asked the National Academies for advice on how to archive and provide access to these data. This book offers preliminary principles and guidelines that NOAA and its partners can use to begin planning specific archiving strategies for the data streams they currently collect. For example, the book concludes that the decision to archive environmental or geospatial data should be driven by its current or future value to society, and that funding for environmental and geospatial measurements should include sufficient resources to archive and provide access to the data these efforts generate. The preliminary principles and guidelines proposed in this book will be refined and expanded to cover data access issues in a final book expected to be released in 2007.

📒Remote Sensing ✍ Gobron N.

Remote Sensing Book PDF
✏Book Title : Remote Sensing
✏Author : Gobron N.
✏Publisher :
✏Release Date : 2008
✏Pages : 239
✏ISBN : STANFORD:36105131919081
✏Available Language : English, Spanish, And French

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✏Remote Sensing Book Summary :

Water Resources Management Book PDF
✏Book Title : Water Resources Management
✏Author :
✏Publisher :
✏Release Date : 2002
✏Pages :
✏ISBN : WISC:89083931790
✏Available Language : English, Spanish, And French

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✏Water Resources Management Book Summary :

📒Proceedings ✍ Geoscience Information Society

Proceedings Book PDF
✏Book Title : Proceedings
✏Author : Geoscience Information Society
✏Publisher :
✏Release Date : 2001
✏Pages :
✏ISBN : UOM:39015068662512
✏Available Language : English, Spanish, And French

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✏Proceedings Book Summary :

📒Geoinformatics ✍ Geoscience Information Society. Meeting

Geoinformatics Book PDF
✏Book Title : Geoinformatics
✏Author : Geoscience Information Society. Meeting
✏Publisher :
✏Release Date : 2005
✏Pages : 125
✏ISBN : UCSD:31822009565193
✏Available Language : English, Spanish, And French

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✏Geoinformatics Book Summary :