Cover Image
Read Now

Data mining for business intelligence concepts, techniques, and applications in Microsoft Office Excel with XLMiner

Data Mining for Business Intelligence, Second Edition uses real data and actual cases to illustrate the applicability of data mining (DM) intelligence in the development of successful business models. Featuring complimentary access to XLMiner, the Microsoft Office Excel add-in, this book allows read...

Full description

Bibliographic Details
Main Author: Shmueli, Galit
Other Authors: Patel, Nitin R., Bruce, Peter C.
Format: eBook
Language:English
Published: Hoboken, N.J. Wiley 2010
Edition:2nd ed
Subjects:
Data Mining / Fast
Data Mining / Blmlsh
Gestion / Informatique
Management / Data Processing / Fast
Management / Data Processing / Http://id.loc.gov/authorities/subjects/sh85080339
Microsoft Excel (computer File) / Blmlsh
Business / Data Processing / Http://id.loc.gov/authorities/subjects/sh85018264
Business / Data Processing / Fast
Data Mining / Http://id.loc.gov/authorities/subjects/sh97002073
Microsoft Excel (computer File) / Http://id.loc.gov/authorities/names/n86025775
Business / Data Processing / Blmlsh
Exploration De Données (informatique)
Microsoft Excel (computer File) / Fast
Online Access:
Collection: O'Reilly - Collection details see MPG.ReNa
Table of Contents:
  • Includes bibliographical references and index
  • Introduction
  • Overview of the data mining process
  • Data visualization
  • Dimension reduction
  • Evaluating classification and predictive performance
  • Multiple linear regression
  • knearest neighbors (kNN)
  • Naive bayes
  • Classification and regression trees
  • Logistic regression
  • Neural nets
  • Discriminant analysis
  • Association rules
  • Cluster Analysis
  • Handling time series
  • Regression-based forecasting
  • Smoothing methods
  • Cases

Similar Items