Data mining for business intelligence : concepts, techniques, and applications in Microsoft Office Excel with XLMiner /
Shmueli, Galit, 1971-
Data mining for business intelligence : concepts, techniques, and applications in Microsoft Office Excel with XLMiner / by Galit Shmueli, Nitin R. Patel, Peter C. Bruce. - New Delhi. : Wiley-Interscience, c2007. - xviii, 279 p. : ill. ; 26 cm.
Includes bibliographical references (p. 271-272) and index.
CHAPTER 1: Introduction ----------------------
CHAPTER 2: Overview of data mining process ---------------------
CHAPTER 3: Data exploration and Dimension reduction -------------------------
CHAPTER 4: Evaluating Classification and predictive performance ----------------------
CHAPTER 5: Multiple linear regression ---------------------
CHAPTER 6: Three simple classification method ---------------------
CHAPTER 7: Classification and regression trees ----------------------
CHAPTER 8: Logistic regression ----------------------
CHAPTER 9: Neural nets -------------------
CHAPTER 10: Discriminant analysis ---------------------
CHAPTER 11: Association rules -----------------------
CHAPTER 12: Cluster analysis ----------------------
9788126517589 (pbk)
Microsoft Excel (Computer file)
Business--Data processing.
Data mining.
Business intelligence.
HF5548.2 / .S44843 2007
005.54 / SHM-D 2012 4375
Data mining for business intelligence : concepts, techniques, and applications in Microsoft Office Excel with XLMiner / by Galit Shmueli, Nitin R. Patel, Peter C. Bruce. - New Delhi. : Wiley-Interscience, c2007. - xviii, 279 p. : ill. ; 26 cm.
Includes bibliographical references (p. 271-272) and index.
CHAPTER 1: Introduction ----------------------
CHAPTER 2: Overview of data mining process ---------------------
CHAPTER 3: Data exploration and Dimension reduction -------------------------
CHAPTER 4: Evaluating Classification and predictive performance ----------------------
CHAPTER 5: Multiple linear regression ---------------------
CHAPTER 6: Three simple classification method ---------------------
CHAPTER 7: Classification and regression trees ----------------------
CHAPTER 8: Logistic regression ----------------------
CHAPTER 9: Neural nets -------------------
CHAPTER 10: Discriminant analysis ---------------------
CHAPTER 11: Association rules -----------------------
CHAPTER 12: Cluster analysis ----------------------
9788126517589 (pbk)
Microsoft Excel (Computer file)
Business--Data processing.
Data mining.
Business intelligence.
HF5548.2 / .S44843 2007
005.54 / SHM-D 2012 4375