HOME > Detail View

Detail View

Statistical data mining using SAS applications 2nd ed

Statistical data mining using SAS applications 2nd ed (Loan 5 times)

Material type
단행본
Personal Author
Fernandez, George, 1952-. Fernandez, George, 1952-.
Title Statement
Statistical data mining using SAS applications / author, George Fernandez.
판사항
2nd ed.
Publication, Distribution, etc
Boca Raton :   CRC Press,   2010.  
Physical Medium
xxiii, 453 p. : ill. ; 25 cm.
Series Statement
Chapman & Hall/CRC data mining and knowledge discovery series
ISBN
9781439810750 (hardcover : alk. paper)
General Note
First published under title: Data mining using SAS applications.  
Bibliography, Etc. Note
Includes bibliographical references and index.
Subject Added Entry-Topical Term
Commercial statistics -- Computer programs. Data mining.
000 01221camuu2200325 a 4500
001 000045620246
005 20101203113646
008 101202s2010 flua b 001 0 eng d
010 ▼a 2010011768
020 ▼a 9781439810750 (hardcover : alk. paper)
040 ▼a DLC ▼c DLC ▼d 211009
050 0 0 ▼a HF1017 ▼b .F476 2010
082 0 0 ▼a 006.3/12 ▼2 22
084 ▼a 006.312 ▼2 DDCK
090 ▼a 006.312 ▼b F363d2
100 1 ▼a Fernandez, George, ▼d 1952-.
245 1 0 ▼a Statistical data mining using SAS applications / ▼c author, George Fernandez.
250 ▼a 2nd ed.
260 ▼a Boca Raton : ▼b CRC Press, ▼c 2010.
300 ▼a xxiii, 453 p. : ▼b ill. ; ▼c 25 cm.
490 1 ▼a Chapman & Hall/CRC data mining and knowledge discovery series
500 ▼a First published under title: Data mining using SAS applications.
504 ▼a Includes bibliographical references and index.
630 0 0 ▼a SAS (Computer file)
650 0 ▼a Commercial statistics ▼x Computer programs.
650 0 ▼a Data mining.
700 1 ▼a Fernandez, George, ▼d 1952-. ▼t Data mining using SAS applications.
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 Science & Engineering Library/Sci-Info(Stacks2)/ Call Number 006.312 F363d2 Accession No. 121200308 Availability Available Due Date Make a Reservation Service B M

Contents information

Table of Contents

Data Mining: A Gentle Introduction
Introduction
Data Mining: Why It Is Successful in the IT World
Benefits of Data Mining
Data Mining: Users
Data Mining: Tools
Data Mining: Steps
Problems in the Data Mining Process
SAS Software the Leader in Data Mining
Introduction of User-Friendly SAS Macros for Statistical Data Mining

Preparing Data for Data Mining
Introduction
Data Requirements in Data Mining
Ideal Structures of Data for Data Mining
Understanding the Measurement Scale of Variables
Entire Database or Representative Sample
Sampling for Data Mining
User-Friendly SAS Applications Used in Data Preparation

Exploratory Data Analysis
Introduction
Exploring Continuous Variables
Data Exploration: Categorical Variable
SAS Macro Applications Used in Data Exploration

Unsupervised Learning Methods
Introduction
Applications of Unsupervised Learning Methods
Principal Component Analysis (PCA)
Exploratory Factor Analysis (EFA)
Disjoint Cluster Analysis (DCA)
Biplot Display of PCA, EFA, and DCA Results
PCA and EFA Using SAS Macro FACTOR2
Disjoint Cluster Analysis Using SAS Macro DISJCLS2

Supervised Learning Methods: Prediction
Introduction
Applications of Supervised Predictive Methods
Multiple Linear Regression Modeling
Binary Logistic Regression Modeling
Ordinal Logistic Regression
Survey Logistic Regression
Multiple Linear Regression Using SAS Macro REGDIAG2
Lift Chart Using SAS Macro LIFT2
Scoring New Regression Data Using the SAS Macro RSCORE2
Logistic Regression Using SAS Macro LOGIST2
Scoring New Logistic Regression Data Using the SAS Macro LSCORE2
Case Study 1: Modeling Multiple Linear Regressions
Case Study 2: If-Then Analysis and Lift Charts
Case Study 3: Modeling Multiple Linear Regression with Categorical Variables
Case Study 4: Modeling Binary Logistic Regression
Case Study 5: Modeling Binary Multiple Logistic Regression
Case Study 6: Modeling Ordinal Multiple Logistic Regression

Supervised Learning Methods: Classification
Introduction
Discriminant Analysis
Stepwise Discriminant Analysis
Canonical Discriminant Analysis
Discriminant Function Analysis
Applications of Discriminant Analysis
Classification Tree Based on CHAID
Applications of CHAID
Discriminant Analysis Using SAS Macro DISCRIM2
Decision Tree Using SAS Macro CHAID2
Case Study 1: Canonical Discriminant Analysis and Parametric Discriminant Function Analysis
Case Study 2: Nonparametric Discriminant Function Analysis
Case Study 3: Classification Tree Using CHAID

Advanced Analytics and Other SAS Data Mining Resources
Introduction
Artificial Neural Network Methods
Market Basket Analysis
SAS Software: The Leader in Data Mining

Appendix I: Instruction for Using the SAS Macros
Appendix II: Data Mining SAS Macro Help Files
Appendix III: Instruction for Using the SAS Macros with Enterprise Guide Code Window

Index

A Summary and References appear at the end of each chapter.


Information Provided By: : Aladin

New Arrivals Books in Related Fields

National Academies of Sciences, Engineering, and Medicine (U.S.) (2020)
Cartwright, Hugh M. (2021)
한국소프트웨어기술인협회. 빅데이터전략연구소 (2021)