R and Data Mining

Produk Detail:
  • Author : Yanchang Zhao
  • Publisher : Academic Press
  • Pages : 256 pages
  • ISBN : 012397271X
  • Rating : /5 from reviews
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Download or Read online R and Data Mining full in PDF, ePub and kindle. this book written by Yanchang Zhao and published by Academic Press which was released on 31 December 2012 with total page 256 pages. We cannot guarantee that R and Data Mining 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. 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 : 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 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

Data Mining with Rattle and R

Data Mining with Rattle and R
  • Author : Graham Williams
  • Publisher : Springer Science & Business Media
  • Release : 04 August 2011
GET THIS BOOK Data Mining with Rattle and R

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, the choice of tools, and the choice of algorithms. Throughout this book the reader is introduced to the basic concepts and some of the more popular algorithms of data

Data Mining and Business Analytics with R

Data Mining and Business Analytics with R
  • Author : Johannes Ledolter
  • Publisher : John Wiley & Sons
  • Release : 28 May 2013
GET THIS BOOK Data Mining and Business Analytics with R

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 model and interpret complicated data and become adeptat building powerful models for prediction and classification. Highlighting both underlying concepts and practicalcomputational skills, Data Mining and Business Analytics withR begins with

Data Mining with R

Data Mining with R
  • Author : Luis Torgo
  • Publisher : CRC Press
  • Release : 30 November 2016
GET THIS BOOK Data Mining with R

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 that provides an introduction to data mining, to complement the already existing introduction to R. The second part includes case studies, and the new edition strongly revises the R code

Learning Data Mining with R

Learning Data Mining with R
  • Author : Bater Makhabel
  • Publisher : Packt Publishing Ltd
  • Release : 31 January 2015
GET THIS BOOK Learning Data Mining with R

This book is intended for the budding data scientist or quantitative analyst with only a basic exposure to R and statistics. This book assumes familiarity with only the very basics of R, such as the main data types, simple functions, and how to move data around. No prior experience with data mining packages is necessary; however, you should have a basic understanding of data mining concepts and processes.

R Data Mining

R Data Mining
  • Author : Andrea Cirillo
  • Publisher : Packt Publishing Ltd
  • Release : 29 November 2017
GET THIS BOOK R Data Mining

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 from it. Apply effective data mining models to perform regression and classification tasks. Who This Book Is For If you are a budding data scientist, or a data analyst with

R Data Mining

R Data Mining
  • Author : Andrea Cirillo
  • Publisher : Unknown
  • Release : 28 November 2017
GET THIS BOOK R Data Mining

Mine valuable insights from your data using popular tools and techniques in RAbout 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 from it.* Apply effective data mining models to perform regression and classification tasks.Who This Book Is ForIf you are a budding data scientist, or a data analyst with a basic

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,

Learning Data Mining with R

Learning Data Mining with R
  • Author : Romeo Kienzler
  • Publisher : Unknown
  • Release : 15 June 2021
GET THIS BOOK Learning Data Mining with R

"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. Data mining is a very broad topic and takes some time to learn. This course will help you to understand the mathematical basics quickly, and then you can directly apply what you've learned in R. This course covers each and every aspect of data

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 : 15 June 2021
GET THIS BOOK Educational Data Mining with R and Rattle

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 open source data mining tools.

Text Mining in Practice with R

Text Mining in Practice with R
  • Author : Ted Kwartler
  • Publisher : John Wiley & Sons
  • Release : 24 July 2017
GET THIS BOOK Text Mining in Practice with R

A reliable, cost-effective approach to extracting priceless business information from all sources of text Excavating actionable business insights from data is a complex undertaking, and that complexity is magnified by an order of magnitude when the focus is on documents and other text information. This book takes a practical, hands-on approach to teaching you a reliable, cost-effective approach to mining the vast, untold riches buried within all forms of text using R. Author Ted Kwartler clearly describes all of the

R Data Analysis and Visualization

R  Data Analysis and Visualization
  • Author : Tony Fischetti,Brett Lantz,Jaynal Abedin,Hrishi V. Mittal,Bater Makhabel,Edina Berlinger,Ferenc Illes,Milan Badics,Adam Banai,Gergely Daroczi
  • Publisher : Packt Publishing Ltd
  • Release : 24 June 2016
GET THIS BOOK R Data Analysis and Visualization

Master the art of building analytical models using R About This Book Load, wrangle, and analyze your data using the world's most powerful statistical programming language Build and customize publication-quality visualizations of powerful and stunning R graphs Develop key skills and techniques with R to create and customize data mining algorithms Use R to optimize your trading strategy and build up your own risk management system Discover how to build machine learning algorithms, prepare data, and dig deep into data

Data Mining with R

Data Mining with R
  • Author : Luis Torgo
  • Publisher : CRC Press
  • Release : 02 July 2020
GET THIS BOOK Data Mining with R

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 that provides an introduction to data mining, to complement the already existing introduction to R. The second part includes case studies, and the new edition strongly revises the R code