R and Data Mining

Written By Yanchang Zhao
R and Data Mining
  • Publsiher : Academic Press
  • Release : 31 December 2012
  • ISBN : 012397271X
  • Pages : 256 pages
  • Rating : 4/5 from 21 reviews
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Read or download book entitled R and Data Mining written by Yanchang Zhao which was release on 31 December 2012, this book published by Academic Press. Available in PDF, EPUB and Kindle Format. Book excerpt: 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, and more. Data mining techniques are growing in popularity in a broad range of areas, from banking to insurance, retail, telecom, medicine, research, and government. This book focuses on the modeling phase of the data mining process, also addressing data exploration and model evaluation. With three in-depth case studies, a quick reference guide, bibliography, and links to a wealth of online resources, R and Data Mining is a valuable, practical guide to a powerful method of analysis. Presents an introduction into using R for data mining applications, covering most popular data mining techniques Provides code examples and data so that readers can easily learn the techniques Features case studies in real-world applications to help readers apply the techniques in their work

R and Data Mining

R and Data Mining
  • Author : Yanchang Zhao
  • Publisher : Academic Press
  • Release Date : 2012-12-31
  • Total pages : 256
  • ISBN : 012397271X
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Summary : 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 ...

Data Mining with R

Data Mining with R
  • Author : Luis Torgo
  • Publisher : CRC Press
  • Release Date : 2016-11-30
  • Total pages : 426
  • ISBN : 012397271X
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Summary : Data Mining with R: Learning with Case Studies, Second Edition uses practical examples to illustrate the power of R and data mining. Providing an extensive update to the best-selling first edition, this new edition is divided into two parts. The first part will feature introductory material, including a new chapter ...

R Data Mining

R Data Mining
  • Author : Andrea Cirillo
  • Publisher : Packt Publishing Ltd
  • Release Date : 2017-11-29
  • Total pages : 442
  • ISBN : 012397271X
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Summary : Mine valuable insights from your data using popular tools and techniques in R About This Book Understand the basics of data mining and why R is a perfect tool for it. Manipulate your data using popular R packages such as ggplot2, dplyr, and so on to gather valuable business insights ...

Educational Data Mining with R and Rattle

Educational Data Mining with R and Rattle
  • Author : R. S. Kamath,R. K. Kamat
  • Publisher : River Publishers
  • Release Date : 2016
  • Total pages : 128
  • ISBN : 012397271X
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Summary : Educational Data Mining (EDM) is one of the emerging fields in the pedagogy and andragogy paradigm, it concerns the techniques which research data coming from the educational domain. An archetype that is covered is that of learning by example. This is a guide for EDM implementation using R and Rattle ...

Data Mining Algorithms

Data Mining Algorithms
  • Author : Pawel Cichosz
  • Publisher : John Wiley & Sons
  • Release Date : 2015-01-27
  • Total pages : 720
  • ISBN : 012397271X
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Summary : "This book narrows down the scope of data mining by adopting a heavily modeling-oriented perspective"--...

Data Mining and Business Analytics with R

Data Mining and Business Analytics with R
  • Author : Johannes Ledolter
  • Publisher : John Wiley & Sons
  • Release Date : 2013-05-28
  • Total pages : 368
  • ISBN : 012397271X
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Summary : Collecting, analyzing, and extracting valuable information froma large amount of data requires easily accessible, robust,computational and analytical tools. Data Mining and BusinessAnalytics with R utilizes the open source software R for theanalysis, exploration, and simplification of large high-dimensionaldata sets. As a result, readers are provided with the neededguidance to ...

Data Mining with Rattle and R

Data Mining with Rattle and R
  • Author : Graham Williams
  • Publisher : Springer Science & Business Media
  • Release Date : 2011-08-04
  • Total pages : 374
  • ISBN : 012397271X
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Summary : Data mining is the art and science of intelligent data analysis. By building knowledge from information, data mining adds considerable value to the ever increasing stores of electronic data that abound today. In performing data mining many decisions need to be made regarding the choice of methodology, the choice of ...

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 Date : 2019-11-05
  • Total pages : 608
  • ISBN : 012397271X
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Summary : 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 ...

R Mining spatial text web and social media data

R  Mining spatial  text  web  and social media data
  • Author : Bater Makhabel,Pradeepta Mishra,Nathan Danneman,Richard Heimann
  • Publisher : Packt Publishing Ltd
  • Release Date : 2017-06-19
  • Total pages : 651
  • ISBN : 012397271X
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Summary : Create data mining algorithms About This Book Develop a strong strategy to solve predictive modeling problems using the most popular data mining algorithms Real-world case studies will take you from novice to intermediate to apply data mining techniques Deploy cutting-edge sentiment analysis techniques to real-world social media data using R ...

Learning Path

Learning Path
  • Author : Anonim
  • Publisher : Unknown
  • Release Date : 2017
  • Total pages : 212
  • ISBN : 012397271X
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Summary : "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 ...

Data Mining with R

Data Mining with R
  • Author : Luis Torgo
  • Publisher : Taylor & Francis
  • Release Date : 2011
  • Total pages : 305
  • ISBN : 012397271X
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Summary : The versatile capabilities and large set of add-on packages make R an excellent alternative to many existing and often expensive data mining tools. Exploring this area from the perspective of a practitioner, Data Mining with R: Learning with Case Studies uses practical examples to illustrate the power of R and ...

Advanced Data Mining and Applications

Advanced Data Mining and Applications
  • Author : Xue Li,Shuliang Wang
  • Publisher : Springer Science & Business Media
  • Release Date : 2005-07-12
  • Total pages : 835
  • ISBN : 012397271X
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Summary : This book constitutes the refereed proceedings of the First International Conference on Advanced Data Mining and Applications, ADMA 2005, held in Wuhan, China in July 2005. The conference was focused on sophisticated techniques and tools that can handle new fields of data mining, e.g. spatial data mining, biomedical data mining, and ...

Next Generation of Data Mining Applications

Next Generation of Data Mining Applications
  • Author : Mehmed Kantardzic,Jozef Zurada
  • Publisher : Wiley-IEEE Press
  • Release Date : 2005-03-08
  • Total pages : 671
  • ISBN : 012397271X
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Summary : 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 ...

Contemporary Issues in Exploratory Data Mining in the Behavioral Sciences

Contemporary Issues in Exploratory Data Mining in the Behavioral Sciences
  • Author : John J. McArdle,Gilbert Ritschard
  • Publisher : Routledge
  • Release Date : 2013-08-15
  • Total pages : 474
  • ISBN : 012397271X
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Summary : This book reviews the latest techniques in exploratory data mining (EDM) for the analysis of data in the social and behavioral sciences to help researchers assess the predictive value of different combinations of variables in large data sets. Methodological findings and conceptual models that explain reliable EDM techniques for predicting ...

Encyclopedia of Knowledge Management

Encyclopedia of Knowledge Management
  • Author : Schwartz, David
  • Publisher : IGI Global
  • Release Date : 2005-09-30
  • Total pages : 902
  • ISBN : 012397271X
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Summary : "This encyclopedia is a research reference work documenting the past, present, and possible future directions of knowledge management"--Provided by publisher....