Data Mining Applications with R

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  • Author : Yanchang Zhao
  • Publisher : Academic Press
  • Pages : 514 pages
  • ISBN : 0124115209
  • Rating : 4.5/5 from 3 reviews
CLICK HERE TO GET THIS BOOK >>>Data Mining Applications with R

Download or Read online Data Mining Applications with R full in PDF, ePub and kindle. this book written by Yanchang Zhao and published by Academic Press which was released on 26 November 2013 with total page 514 pages. We cannot guarantee that Data Mining Applications with R book is available in the library, click Get Book button and read full online book in your kindle, tablet, IPAD, PC or mobile whenever and wherever You Like. Data Mining Applications with R is a great resource for researchers and professionals to understand the wide use of R, a free software environment for statistical computing and graphics, in solving different problems in industry. R is widely used in leveraging data mining techniques across many different industries, including government, finance, insurance, medicine, scientific research and more. This book presents 15 different real-world case studies illustrating various techniques in rapidly growing areas. It is an ideal companion for data mining researchers in academia and industry looking for ways to turn this versatile software into a powerful analytic tool. R code, Data and color figures for the book are provided at the RDataMining.com website. Helps data miners to learn to use R in their specific area of work and see how R can apply in different industries Presents various case studies in real-world applications, which will help readers to apply the techniques in their work Provides code examples and sample data for readers to easily learn the techniques by running the code by themselves

Data Mining Applications with R

Data Mining Applications with R
  • Author : Yanchang Zhao,Yonghua Cen
  • Publisher : Academic Press
  • Release : 26 November 2013
GET THIS BOOK Data Mining Applications with R

Data Mining Applications with R is a great resource for researchers and professionals to understand the wide use of R, a free software environment for statistical computing and graphics, in solving different problems in industry. R is widely used in leveraging data mining techniques across many different industries, including government, finance, insurance, medicine, scientific research and more. This book presents 15 different real-world case studies illustrating various techniques in rapidly growing areas. It is an ideal companion for data mining researchers

R and Data Mining

R and Data Mining
  • Author : Yanchang Zhao
  • Publisher : Academic Press
  • Release : 31 December 2012
GET THIS BOOK R and Data Mining

R and Data Mining introduces researchers, post-graduate students, and analysts to data mining using R, a free software environment for statistical computing and graphics. The book provides practical methods for using R in applications from academia to industry to extract knowledge from vast amounts of data. Readers will find this book a valuable guide to the use of R in tasks such as classification and prediction, clustering, outlier detection, association rules, sequence analysis, text mining, social network analysis, sentiment analysis,

Data Mining for Business Analytics

Data Mining for Business Analytics
  • Author : Galit Shmueli,Peter C. Bruce,Peter Gedeck,Nitin R. Patel
  • Publisher : John Wiley & Sons
  • Release : 05 November 2019
GET THIS BOOK Data Mining for Business Analytics

Data Mining for Business Analytics: Concepts, Techniques, and Applications in Python presents an applied approach to data mining concepts and methods, using Python software for illustration Readers will learn how to implement a variety of popular data mining algorithms in Python (a free and open-source software) to tackle business problems and opportunities. This is the sixth version of this successful text, and the first using Python. It covers both statistical and machine learning algorithms for prediction, classification, visualization, dimension reduction,

Handbook of Statistical Analysis and Data Mining Applications

Handbook of Statistical Analysis and Data Mining Applications
  • Author : Robert Nisbet,Gary Miner,Ken Yale
  • Publisher : Elsevier
  • Release : 09 November 2017
GET THIS BOOK Handbook of Statistical Analysis and Data Mining Applications

Handbook of Statistical Analysis and Data Mining Applications, Second Edition, is a comprehensive professional reference book that guides business analysts, scientists, engineers and researchers, both academic and industrial, through all stages of data analysis, model building and implementation. The handbook helps users discern technical and business problems, understand the strengths and weaknesses of modern data mining algorithms and employ the right statistical methods for practical application. This book is an ideal reference for users who want to address massive and

Database Support for Data Mining Applications

Database Support for Data Mining Applications
  • Author : Rosa Meo,Pier L. Lanzi,Mika Klemettinen
  • Publisher : Springer
  • Release : 28 July 2004
GET THIS BOOK Database Support for Data Mining Applications

Data mining from traditional relational databases as well as from non-traditional ones such as semi-structured data, Web data, and scientific databases housing biological, linguistic, and sensor data has recently become a popular way of discovering hidden knowledge. This book on database support for data mining is developed to approaches exploiting the available database technology, declarative data mining, intelligent querying, and associated issues, such as optimization, indexing, query processing, languages, and constraints. Attention is also paid to the solution of data

Advances in Data Mining Applications and Theoretical Aspects

Advances in Data Mining  Applications and Theoretical Aspects
  • Author : Petra Perner
  • Publisher : Springer
  • Release : 27 June 2010
GET THIS BOOK Advances in Data Mining Applications and Theoretical Aspects

These are the proceedings of the tenth event of the Industrial Conference on Data Mining ICDM held in Berlin (www.data-mining-forum.de). For this edition the Program Committee received 175 submissions. After the pe- review process, we accepted 49 high-quality papers for oral presentation that are included in this book. The topics range from theoretical aspects of data mining to app- cations of data mining such as on multimedia data, in marketing, finance and telec- munication, in medicine and agriculture, and in

Advances on Data Mining Applications and Theoretical Aspects

Advances on Data Mining  Applications and Theoretical Aspects
  • Author : Petra Perner
  • Publisher : Springer Science & Business Media
  • Release : 09 August 2011
GET THIS BOOK Advances on Data Mining Applications and Theoretical Aspects

This book constitutes the refereed proceedings of the 11th Industrial Conference on Data Mining, ICDM 2011, held in New York, USA in September 2011. The 22 revised full papers presented were carefully reviewed and selected from 100 submissions. The papers are organized in topical sections on data mining in medicine and agriculture, data mining in marketing, data mining for Industrial processes and in telecommunication, Multimedia Data Mining, theoretical aspects of data mining, Data Warehousing, WebMining and Information Mining.

Data Mining for Business Intelligence

Data Mining for Business Intelligence
  • Author : Galit Shmueli,Nitin R. Patel,Peter C. Bruce
  • Publisher : Wiley-Interscience
  • Release : 25 September 2022
GET THIS BOOK Data Mining for Business Intelligence

Learn how to develop models for classification, prediction, and customer segmentation with the help of Data Mining for Business Intelligence In today's world, businesses are becoming more capable of accessing their ideal consumers, and an understanding of data mining contributes to this success. Data Mining for Business Intelligence, which was developed from a course taught at the Massachusetts Institute of Technology's Sloan School of Management, and the University of Maryland's Smith School of Business, uses real data and actual cases

Ethical Data Mining Applications for Socio Economic Development

Ethical Data Mining Applications for Socio Economic Development
  • Author : Hakikur Rahman,Isabel Ramos
  • Publisher : IGI Global
  • Release : 31 May 2013
GET THIS BOOK Ethical Data Mining Applications for Socio Economic Development

"This book provides an overview of data mining techniques under an ethical lens, investigating developments in research best practices and examining experimental cases to identify potential ethical dilemmas in the information and communications technology sector"--Provided by publisher.

Next Generation of Data Mining Applications

Next Generation of Data Mining Applications
  • Author : Mehmed Kantardzic,Jozef Zurada
  • Publisher : Wiley-IEEE Press
  • Release : 08 March 2005
GET THIS BOOK Next Generation of Data Mining Applications

Discover the next generation of data-mining tools and technology This book brings together an international team of eighty experts to present readers with the next generation of data-mining applications. Unlike other publications that take a strictly academic and theoretical approach, this book features authors who have successfully developed data-mining solutions for a variety of customer types. Presenting their state-of-the-art methodologies and techniques, the authors show readers how they can analyze enormous quantities of data and make new discoveries by connecting

Visual Analytics and Interactive Technologies Data Text and Web Mining Applications

Visual Analytics and Interactive Technologies  Data  Text and Web Mining Applications
  • Author : Zhang, Qingyu,Segall, Richard S.,Cao, Mei
  • Publisher : IGI Global
  • Release : 31 October 2010
GET THIS BOOK Visual Analytics and Interactive Technologies Data Text and Web Mining Applications

"This book is a comprehensive reference on concepts, algorithms, theories, applications, software, and visualization of data mining, text mining, Web mining and computing/supercomputing, covering state-of-the-art of the theory and applications of mining"--

Business Management and Communication Perspectives in Industry 4 0

Business Management and Communication Perspectives in Industry 4 0
  • Author : Özbebek Tunç, Ay?egül,Aslan, P?nar
  • Publisher : IGI Global
  • Release : 26 July 2019
GET THIS BOOK Business Management and Communication Perspectives in Industry 4 0

Changes in the global economy bring new dynamics, concepts, and implications that require digitalization and adaptation. The new “normal” has changed, and companies must adopt such strategies if they want to survive in the ever-changing business environments. Business Management and Communication Perspectives in Industry 4.0 is a pivotal reference source that provides vital research on the planning, implementing, and evaluating of strategies for the new industry standards. While highlighting topics such as artificial intelligence, digital leadership, and management science, this publication

Data Mining in Public and Private Sectors Organizational and Government Applications

Data Mining in Public and Private Sectors  Organizational and Government Applications
  • Author : Syvajarvi, Antti,Stenvall, Jari
  • Publisher : IGI Global
  • Release : 30 June 2010
GET THIS BOOK Data Mining in Public and Private Sectors Organizational and Government Applications

The need for both organizations and government agencies to generate, collect, and utilize data in public and private sector activities is rapidly increasing, placing importance on the growth of data mining applications and tools. Data Mining in Public and Private Sectors: Organizational and Government Applications explores the manifestation of data mining and how it can be enhanced at various levels of management. This innovative publication provides relevant theoretical frameworks and the latest empirical research findings useful to governmental agencies, practicing

Learning Path

Learning Path
  • Author : Anonim
  • Publisher : Unknown
  • Release : 25 September 2022
GET THIS BOOK Learning Path

"Data mining is a growing demand on the market as the world is generating data at an increasing pace. R is a popular programming language for statistics. It can be used for day-to-day data analysis tasks. This Learning Path is the complete learning process for data-happy people. We begin with a thorough introduction to data mining and how R makes it easy with its many packages. We then move on to exploring data mining techniques, showing you how to apply