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Data Mining for Managers

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Cover of 'Data Mining for Managers'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Introduction
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    Chapter 2 Growth of Data Mining—An Historical Perspective
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    Chapter 3 Data Mining in the New Economy
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    Chapter 4 Using Data Mining for CRM Evaluation
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    Chapter 5 The Data Mining Process: Problem Identification
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    Chapter 6 The Data Mining Process: Creation of the Analytical File
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    Chapter 7 Data Mining Process: Creation of the Analytical File with External Data Sources
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    Chapter 8 Data Storage and Security
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    Chapter 9 Privacy Concerns Regarding the Use of Data
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    Chapter 10 Types and Quality of Data
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    Chapter 11 Segmentation
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    Chapter 12 Applying Data Mining Techniques
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    Chapter 13 Gains Charts
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    Chapter 14 Using RFM as One Targeting Option
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    Chapter 15 The Use of Multivariate Analysis Techniques
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    Chapter 16 Tracking and Measuring
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    Chapter 17 Implementation and Tracking
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    Chapter 18 Value-Based Segmentation and the Use of CHAID
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    Chapter 19 Black Box Analytics
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    Chapter 20 Digital Analytics: A Data Miner’s Perspective
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    Chapter 21 Organizational Considerations: People and Software
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    Chapter 22 Social Media Analytics
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    Chapter 23 Credit Cards and Risk
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    Chapter 24 Data Mining in Retail
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    Chapter 25 Business-to-Business Example
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    Chapter 26 Financial Institution Case Study
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    Chapter 27 Using Marketing Analytics in the Travel/Entertainment Industry
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    Chapter 28 Data Mining for Customer Loyalty: A Perspective
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    Chapter 29 Text Mining: The New Data Mining Frontier
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    Chapter 30 Analytics and Data Mining for Insurance Claim Risk
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    Chapter 31 Future Thoughts: The Big Data Discussion and the Key Roles in Analytics
Overall attention for this book and its chapters
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Title
Data Mining for Managers
Published by
Palgrave Macmillan US, January 2014
DOI 10.1057/9781137406194
ISBNs
978-1-349-48786-8, 978-1-137-40619-4, 978-1-137-40617-0, 978-1-137-40618-7
Authors

Boire, Richard, R. Boire, Boire, R.

X Demographics

X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 7 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 4 57%
Student > Bachelor 3 43%
Other 1 14%
Student > Ph. D. Student 1 14%
Professor 1 14%
Other 0 0%
Readers by discipline Count As %
Business, Management and Accounting 4 57%
Economics, Econometrics and Finance 3 43%
Computer Science 1 14%
Engineering 1 14%