Data mining using SAS applications:
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
Boca Raton [u.a.]
Chapman & Hall/CRC
2003
|
| Schlagworte: | |
| Online-Zugang: | Inhaltsverzeichnis |
| Beschreibung: | Includes bibliographical references and index |
| Beschreibung: | XV, 367 S. Ill., graph. Darst. |
| ISBN: | 1584883456 |
Internformat
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Datensatz im Suchindex
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| adam_text | DATA MINING USING SAS APPLICATIONS GEORGE FERNANDEZ CHAPMAN & HALL/CRC A
CRC PRESS COMPANY BOCA RATON LONDON NEW YORK WASHINGTON, D.C. CONTENTS 1
DATA MINING: A GENTLE INTRODUCTION 1 1.1 INTRODUCTION 1 1.2 DATA MINING:
WHY NOW? 2 1.3 BENEFITS OF DATA MINING 3 1.4 DATA MINING: USERS3 1.5
DATA MINING TOOLS 5 1.6 DATA MINING STEPS 5 1.7 PROBLEMS IN THE DATA
MINING PROCESS 9 1.8 SAS SOFTWARE:THE LEADER IN DATA MINING 10 1.9
USER-FRIENDLY SAS MACROS FOR DATA MINING 12 1.10 SUMMARY 13 REFERENCES
13 SUGGESTED READING AND CASE STUDIES 14 2 PREPARING DATA FOR DATA
MINING 15 2.1 INTRODUCTION 15 2.2 DATA REQUIREMENTS IN DATA MINING 15
2.3 IDEAL STRUCTURES OF DATA FOR DATA MINING 16 2.4 UNDERSTANDING THE
MEASUREMENT SCALE OF VARIABLES 16 2.5 ENTIRE DATABASE VS. REPRESENTATIVE
SAMPLE 17 2.6 SAMPLING FOR DATA MINING 18 2.7 SAS APPLICATIONS USED IN
DATA PREPARATION 18 2.8 SUMMARY 38 REFERENCES 39 SUGGESTED READING 39 3
EXPLORATORY DATA ANALYSIS 41 3.1 INTRODUCTION 41 3.2 EXPLORING
CONTINUOUS VARIABLES 41 3-3 DATA EXPLORATION: CATEGORICAL VARIABLES 48
3.4 SAS MACRO APPLICATIONS USED IN DATA EXPLORATION 51 3.5 SUMMARY 76
XIII XIV * DATA MINING USING SAS APPLICATIONS REFERENCES 76 SUGGESTED
READING 77 4 UNSUPERVISED LEARNING METHODS 79 4.1 INTRODUCTION 79 4.2
APPLICATIONS OF UNSUPERVISED LEARNING METHODS 80 4.3 PRINCIPAL COMPONENT
ANALYSIS 81 4.4 EXPLORATORY FACTOR ANALYSIS 84 4.5 DISJOINT CLUSTER
ANALYSIS 91 4.6 BI-PLOT DISPLAY OF PCA, EFA, AND DCA RESULTS 93 4.7 PCA
AND EFA USING SAS MACRO FACTOR 94 4.8 DISJOINT CLUSTER ANALYSIS USING
SAS MACRO DISJCLUS 123 4.9 SUMMARY 148 REFERENCES 148 SUGGESTED READING
149 5 SUPERVISED LEARNING METHODS: PREDICTION 151 5.1 INTRODUCTION 151
5.2 APPLICATIONS OF SUPERVISED PREDICTIVE METHODS 152 5.3 MULTIPLE
LINEAR REGRESSION MODELING 153 5.4 BINARY LOGISTIC REGRESSION MODELING
163 5.5 MULTIPLE LINEAR REGRESSION USING SAS MACRO REGDIAG 171 5.6 LIFT
CHART USING SAS MACRO LIFT 177 5.7 SCORING NEW REGRESSION DATA USING THE
SAS MACRO RSCORE 182 5.8 LOGISTIC REGRESSION USING SAS MACRO LOGISTIC
186 5.9 SCORING NEW LOGISTIC REGRESSION DATA USING THE SAS MACRO LSCORE
191 5.10 CASE STUDY 1: MODELING MULTIPLE LINEAR REGRESSION 195 5.11 CASE
STUDY 2: MODELING MULTIPLE LINEAR REGRESSION WITH CATEGORICAL VARIABLES
222 5.12 CASE STUDY 3: MODELING BINARY LOGISTIC REGRESSION 238 5.13
SUMMARY 258 REFERENCES 259 6 SUPERVISED LEARNING METHODS: CLASSIFICATION
263 6.1 INTRODUCTION 263 6.2 DISCRIMINANT ANALYSIS 264 6.3 STEPWISE
DISCRIMINANT ANALYSIS 265 6.4 CANONICAL DISCRIMINANT ANALYSIS 266 6.5
DISCRIMINANT FUNCTION ANALYSIS 269 6.6 APPLICATIONS OF DISCRIMINANT
ANALYSIS 272 6.7 CLASSIFICATION TREE BASED ON CHAID 272 6.8 APPLICATIONS
OF CHAID 276 6.9 DISCRIMINANT ANALYSIS USING SAS MACRO DISCRIM 276 6.10
DECISONTREE USING SAS MACRO CHAID 283 6.11 CASE STUDY 1: CDA AND
PARAMETRIC DFA 287 6.12 CASE STUDY 2: NONPARAMETRIC DFA 312 CONTENTS *
XV 6.13 CASE STUDY 3: CLASSIFICATION TREE USING CHAID 330 6.14 SUMMARY
339 REFERENCES 340 SUGGESTED READING 341 7 EMERGING TECHNOLOGIES IN DATA
MINING 343 7.1 INTRODUCTION 343 7.2 DATA WAREHOUSING 344 7.3 ARTIFICIAL
NEURAL NETWORK METHODS 346 7.4 MARKET BASKET ASSOCIATION ANALYSIS 347
7.5 SAS SOFTWARE:THE LEADER IN DATA MINING 349 7.6 SUMMARY 350
REFERENCES 350 FURTHER READING 351 APPENDIX: INSTRUCTIONS FOR USING THE
SAS MACROS 353 INDEX 357
|
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| illustrated | Illustrated |
| indexdate | 2024-07-09T19:07:06Z |
| institution | BVB |
| isbn | 1584883456 |
| language | English |
| lccn | 2002034917 |
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| physical | XV, 367 S. Ill., graph. Darst. |
| publishDate | 2003 |
| publishDateSearch | 2003 |
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| publisher | Chapman & Hall/CRC |
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| spelling | Fernandez, George Verfasser aut Data mining using SAS applications George Fernandez Boca Raton [u.a.] Chapman & Hall/CRC 2003 XV, 367 S. Ill., graph. Darst. txt rdacontent n rdamedia nc rdacarrier Includes bibliographical references and index SAS (Computer file) Mineração de dados larpcal Sas (software estatístico) larpcal Commercial statistics Computer programs SAS Programm (DE-588)4195685-0 gnd rswk-swf Data Mining (DE-588)4428654-5 gnd rswk-swf Data Mining (DE-588)4428654-5 s SAS Programm (DE-588)4195685-0 s DE-604 GBV Datenaustausch application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=010006212&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
| spellingShingle | Fernandez, George Data mining using SAS applications SAS (Computer file) Mineração de dados larpcal Sas (software estatístico) larpcal Commercial statistics Computer programs SAS Programm (DE-588)4195685-0 gnd Data Mining (DE-588)4428654-5 gnd |
| subject_GND | (DE-588)4195685-0 (DE-588)4428654-5 |
| title | Data mining using SAS applications |
| title_auth | Data mining using SAS applications |
| title_exact_search | Data mining using SAS applications |
| title_full | Data mining using SAS applications George Fernandez |
| title_fullStr | Data mining using SAS applications George Fernandez |
| title_full_unstemmed | Data mining using SAS applications George Fernandez |
| title_short | Data mining using SAS applications |
| title_sort | data mining using sas applications |
| topic | SAS (Computer file) Mineração de dados larpcal Sas (software estatístico) larpcal Commercial statistics Computer programs SAS Programm (DE-588)4195685-0 gnd Data Mining (DE-588)4428654-5 gnd |
| topic_facet | SAS (Computer file) Mineração de dados Sas (software estatístico) Commercial statistics Computer programs SAS Programm Data Mining |
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