Contemporary Perspectives in Data Mining, Volume 2
1st Edition
Published on 7. January 2015
239 pages
978-1-68123-089-4 (ISBN)
Description
The series, Contemporary Perspectives on Data Mining, is composed of blind refereed scholarly research methods and applications of data mining. This series will be targeted both at the academic community, as well as the business practitioner.Data mining seeks to discover knowledge from vast amounts of data with the use of statistical and mathematical techniques. The knowledge is extracted from this data by examining the patterns of the data, whether they be associations of groups or things, predictions, sequential relationships between time order events or natural groups.Data mining applications are in marketing (customer loyalty, identifying profitable customers, instore promotions, e-commerce populations); in business (teaching data mining, efficiency of the Chinese automobile industry, moderate asset allocation funds); and techniques (veterinary predictive models, data integrity in the cloud, irregular pattern detection in a mobility network and road safety modeling.)
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Kenneth D. Lawrence | Ronald K. Klimberg
Contemporary Perspectives in Data Mining
Book
07/2015
Information Age Publishing
€62.70
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Content
- 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 Model
- CHAPTER 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
- CHAPTER 11: Road Safety Detection Modeling Based on Vehicle Monitoring Data in China
- About the Editors
