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Data mining with R : learning with case studies 2nd ed

Data mining with R : learning with case studies 2nd ed (Loan 4 times)

Material type
단행본
Personal Author
Torgo, Luís.
Title Statement
Data mining with R : learning with case studies / Luís Torgo.
판사항
2nd ed.
Publication, Distribution, etc
Boca Raton :   Taylor & Francis, CRC Press,   c2017.  
Physical Medium
405 p. : ill. (some col.) ; 27 cm.
Series Statement
Chapman & Hall/CRC data mining and knowledge discovery series
ISBN
9781482234893 (hardback : alk. paper) 9781315399102 (ebook)
Bibliography, Etc. Note
Includes bibliographical references and index.
Subject Added Entry-Topical Term
Data mining --Case studies. R (Computer program language).
000 00000cam u2200205 a 4500
001 000045897106
005 20170303102234
008 170302s2017 flua b 001 0 eng d
010 ▼a 2016024995
020 ▼a 9781482234893 (hardback : alk. paper)
020 ▼a 9781315399102 (ebook)
035 ▼a (KERIS)REF000018094413
040 ▼a DLC ▼b eng ▼e rda ▼c DLC ▼d 211009
050 0 0 ▼a QA76.9.D343 ▼b T67 2017
082 0 0 ▼a 006.3/12 ▼2 23
084 ▼a 006.312 ▼2 DDCK
090 ▼a 006.312 ▼b T682d2
100 1 ▼a Torgo, Luís.
245 1 0 ▼a Data mining with R : ▼b learning with case studies / ▼c Luís Torgo.
250 ▼a 2nd ed.
260 ▼a Boca Raton : ▼b Taylor & Francis, CRC Press, ▼c c2017.
300 ▼a 405 p. : ▼b ill. (some col.) ; ▼c 27 cm.
490 1 ▼a Chapman & Hall/CRC data mining and knowledge discovery series
504 ▼a Includes bibliographical references and index.
650 0 ▼a Data mining ▼v Case studies.
650 0 ▼a R (Computer program language).
830 0 ▼a Chapman & Hall/CRC data mining and knowledge discovery series.
945 ▼a KLPA

Holdings Information

No. Location Call Number Accession No. Availability Due Date Make a Reservation Service
No. 1 Location Main Library/Western Books/ Call Number 006.312 T682d2 Accession No. 111768085 Availability In loan Due Date 2021-10-26 Make a Reservation Available for Reserve R Service M

Contents information

Table of Contents

Introduction

I R AND DATA MINING

Introduction to R

Starting with R

Basic Interaction with the R Console

R Objects and Variables

R Functions

Vectors

Vectorization

Factors

Generating Sequences

Sub-Setting

Matrices and Arrays

Lists

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

Modeling

Evaluation

Reporting and Deployment

II CASE STUDIES

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

Summary

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

Summary

Detecting Fraudulent Transactions

Problem Description and Objectives

The Available Data

Defining the Data Mining Tasks

Obtaining Outlier Rankings

Summary

Classifying Microarray Samples

Problem Description and Objectives

The Available Data

Gene (Feature) Selection

Predicting Cytogenetic Abnormalities

Summary


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