Data Mining Using SAS Applications - Brossura

Fernandez, George

 
9781584883456: Data Mining Using SAS Applications
Brossura
ISBN 10: 1584883456 ISBN 13: 9781584883456
Casa editrice: Chapman and Hall/CRC, 2002

Sinossi

Most books on data mining focus on principles and furnish few instructions on how to carry out a data mining project. Data Mining Using SAS Applications not only introduces the key concepts but also enables readers to understand and successfully apply data mining methods using powerful yet user-friendly SAS macro-call files. These methods stress the use of visualization to thoroughly study the structure of data and check the validity of statistical models fitted to data.

  • Learn how to convert PC databases to SAS data
  • Discover sampling techniques to create training and validation samples
  • Understand frequency data analysis for categorical data
  • Explore supervised and unsupervised learning
  • Master exploratory graphical techniques
  • Acquire model validation techniques in regression and classification

    The text furnishes 13 easy-to-use SAS data mining macros designed to work with the standard SAS modules. No additional modules or previous experience in SAS programming is required. The author shows how to perform complete predictive modeling, including data exploration, model fitting, assumption checks, validation, and scoring new data, on SAS datasets in less than ten minutes!

    • Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.

    Contenuti

    DATA MINING - A GENTLE INTRODUCTION
    Data Mining: Why Now?
    Benefits of Data Mining
    Data Mining: Users
    Data Mining Tools
    Data Mining Steps
    Problems in Data Mining Process
    SAS Software: The Leader in Data Mining
    User-Friendly SAS Macros for Data Mining
    PREPARING DATA FOR DATA MINING
    Data Requirements in Data Mining
    Ideal Structures of Data for Data Mining
    Understanding the Measurement Scale of Variables
    Entire Database vs. Representative Sample
    Sampling for Data Mining
    SAS Applications Used in Data Preparation
    EXPLORATORY DATA ANALYSIS
    Exploring Continuous Variable
    Data Exploration: Categorical Variable
    SAS Macro Applications Used in Data Exploration
    UNSUPERVISED LEARNING METHODS
    Applications of Unsupervised Learning Methods
    Principal Component Analysis (PCA)
    Exploratory Factor Analysis (EFA)
    Disjoint Cluster Analysis (DCA)
    Bi-Plot Display of PCA, EFA, and DCA Results
    PCA And EFA Using SAS Macro FACTOR
    Disjoint Cluster Analysis Using SAS Macro DISJCLUS
    SUPERVISED LEARNING METHODS: PREDICTION
    Applications of Supervised Predictive Methods
    Multiple Linear Regression Modeling
    Binary Linear Regression Modeling
    Multiple Linear Regression Using SAS Macro REGDIAG
    Lift Chart Using SAS Macro LIFT
    Scoring New Regression Data Using the SAS Macro RSCORE
    Logistic Regression Using SAS Macro LOGISTIC
    Scoring New Logistic Regression Data Using the SAS Macro LSCORE
    Case Study 1: Modeling Multiple Linear Regression
    Case Study 2: Modeling Multiple Linear Regression with Categorical Variables
    Case Study 3: Modeling Binary Logistic Regression
    SUPERVISED LEARNING METHODS: CLASSIFICATION
    Discriminant Analysis
    Stepwise Discriminant Analysis
    Canonical Discriminant Analysis (CDA)
    Discriminant Function Analysis (DFA)
    Applications of Discriminant Analysis
    Classification Tree Based on CHAID
    Applications of CHAID
    Discriminant Analysis Using SAS Macro DISCRIM
    Decison Tree Using SAS Macro 'CHAID'
    Case Study1: CDA and Parametric DFA
    Case Study2: Non-Parametric DFA
    Case Study3: Classification Tree Using CHAID
    EMERGING TECHNOLOGIES IN DATA MINING
    Data Warehousing
    Artificial Neural Network Methods
    Market Basket Analysis
    SAS Software: The Leader in Data Mining
    APPENDIX: INSTRUCTION FOR USING THE SAS MACROS
    INDEX

    Each chapter also contains an introduction, a summary, references, list of figures, and suggested further reading.

    Short TOC

    Product Description

    Book by Fernandez George

    Le informazioni nella sezione "Su questo libro" possono far riferimento a edizioni diverse di questo titolo.

    Editore
    Chapman and Hall/CRC
    Data di pubblicazione
    2002
    Lingua
    Inglese
    ISBN 10 
    1584883456
    ISBN 13 
    9781584883456
    Rilegatura
    Copertina flessibile
    Numero edizione
    1
    Numero di pagine
    367
    Contatto del produttore
    non disponibile
    Persona responsabile
    non disponibile