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Data Mining with R: Learning with Case Studies, 2/E
출판사 : CRC
저 자 : Torgo
ISBN : 9781482234893
발행일 : 2017-01
도서종류 : 외국도서
발행언어 : 영어
페이지수 : 4460
판매가격 : 49,000원
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   Data Mining with R: Learning with Case Studies, 2/E 목차


Introduction to R

Starting with R

Basic Interaction with the R Console

R Objects and Variables

R Functions




Generating Sequences


Matrices and Arrays


Data Frames

Useful Extensions to Data Frames

Objects, Classes, and Methods

Managing Your Sessions

Introduction to Data Mining

A Bird’s Eye View on Data Mining

Data Collection and Business Understanding

Data Pre-Processing



Reporting and Deployment


Predicting Algae Blooms

Problem Description and Objectives

Data Description

Loading the Data into R

Data Visualization and Summarization

Unknown Values

Obtaining Prediction Models

Model Evaluation and Selection

Predictions for the Seven Algae


Predicting Stock Market Returns

Problem Description and Objectives

The Available Data

The Prediction Models

From Predictions into Actions

Model Evaluation and Selection

The Trading System


Detecting Fraudulent Transactions

Problem Description and Objectives

The Available Data

Defining the Data Mining Tasks

Obtaining Outlier Rankings


Classifying Microarray Samples

Problem Description and Objectives

The Available Data

Gene (Feature) Selection

Predicting Cytogenetic Abnormalities

   도서 상세설명   

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 of the case studies making it more up-to-date with recent packages that have emerged in R.

The book does not assume any prior knowledge about R. Readers who are new to R and data mining should be able to follow the case studies, and they are designed to be self-contained so the reader can start anywhere in the document.

The book is accompanied by a set of freely available R source files that can be obtained at the book’s web site. These files include all the code used in the case studies, and they facilitate the "do-it-yourself" approach followed in the book.

Designed for users of data analysis tools, as well as researchers and developers, the book should be useful for anyone interested in entering the "world" of R and data mining.

About the Author

Luís Torgo is an associate professor in the Department of Computer Science at the University of Porto in Portugal. He teaches Data Mining in R in the NYU Stern School of Business’ MS in Business Analytics program. An active researcher in machine learning and data mining for more than 20 years, Dr. Torgo is also a researcher in the Laboratory of Artificial Intelligence and Data Analysis (LIAAD) of INESC Porto LA.

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