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· 분류 : 외국도서 > 경제경영 > 통계
· ISBN : 9781482234893
· 쪽수 : 426쪽
· 출판일 : 2016-10-15
목차
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
