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Contemporary perspectives in data mining. Volume 2 / edited by Kenneth D. Lawrence, Ronald K. Klimberg.

Contributor(s): Material type: TextTextPublisher: Charlotte, NC : Information Age Publishing, [2015]Distributor: London : Eurospan [distributor]Description: 1 online resourceContent type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9781681230894
  • 1681230895
Subject(s): Genre/Form: Additional physical formats: Print version:: Contemporary perspectives in data mining. Volume 1DDC classification:
  • 006.312 23
LOC classification:
  • QA76.9.D343
Online resources:
Contents:
Cover; Series; Contemporary Perspectives in Data Mining, Volume 2; Library of Congress Cataloging-in-Publication Data; Contents; SECTION I: MARKETING APPLICATIONS; CHAPTER 1: Data Privacy in Loyalty Programs; CHAPTER 2: Identifying Profitable Customers Using a Two-Stage Logistic Model; CHAPTER 3: A Fractional Factorial Analysis for In-Store Promotions; CHAPTER 4: Methods for Customer Analytics of Hetergeneous E-Commerce Populations; SECTION II: BUSINESS APPLICATIONS; CHAPTER 5: Teaching a Data Mining Course in a Business School.
CHAPTER 6: Measuring the Market Efficiency of Chinese Automobile Industry by Using a Max-Min DEA ModelCHAPTER 7: A Clustering Analysis of Five-Star Morning Star Funds Ruled Moderate Asset Allocation Funds; SECTION III: TECHNIQUES; CHAPTER 8: Data Mining Techniques Applied to the Study of Canines with Osteoarthritis; CHAPTER 9: Data Mining Techniques for Information Assurance and Data Integrity on the Cloud; CHAPTER 10: Multivariate Copulas Model in Spatiotemporal Irregular Pattern Detection in Mobility Network.
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Includes bibliographical references.

Print version record.

Cover; Series; Contemporary Perspectives in Data Mining, Volume 2; Library of Congress Cataloging-in-Publication Data; Contents; SECTION I: MARKETING APPLICATIONS; CHAPTER 1: Data Privacy in Loyalty Programs; CHAPTER 2: Identifying Profitable Customers Using a Two-Stage Logistic Model; CHAPTER 3: A Fractional Factorial Analysis for In-Store Promotions; CHAPTER 4: Methods for Customer Analytics of Hetergeneous E-Commerce Populations; SECTION II: BUSINESS APPLICATIONS; CHAPTER 5: Teaching a Data Mining Course in a Business School.

CHAPTER 6: Measuring the Market Efficiency of Chinese Automobile Industry by Using a Max-Min DEA ModelCHAPTER 7: A Clustering Analysis of Five-Star Morning Star Funds Ruled Moderate Asset Allocation Funds; SECTION III: TECHNIQUES; CHAPTER 8: Data Mining Techniques Applied to the Study of Canines with Osteoarthritis; CHAPTER 9: Data Mining Techniques for Information Assurance and Data Integrity on the Cloud; CHAPTER 10: Multivariate Copulas Model in Spatiotemporal Irregular Pattern Detection in Mobility Network.

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