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Introduction to Data Mining and its Applications

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Cover of 'Introduction to Data Mining and its Applications'

Table of Contents

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    Book Overview
  2. Altmetric Badge
    Chapter 1 Introduction to Data Mining Principles
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    Chapter 2 Data Warehousing, Data Mining, and OLAP
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    Chapter 3 Data Marts and Data Warehouse
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    Chapter 4 Evolution and Scaling of Data Mining Algorithms
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    Chapter 5 Emerging Trends and Applications of Data Mining
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    Chapter 6 Data Mining Trends and Knowledge Discovery
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    Chapter 7 Data Mining Tasks, Techniques, and Applications
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    Chapter 8 Data Mining: an Introduction – Case Study
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    Chapter 9 Data Mining & KDD
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    Chapter 10 Statistical Themes and Lessons for Data Mining
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    Chapter 11 Theoretical Frameworks for Data Mining
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    Chapter 12 Major and Privacy Issues in Data Mining and Knowledge Discovery
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    Chapter 13 Active Data Mining
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    Chapter 14 Decomposition in Data Mining - A Case Study
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    Chapter 15 Data Mining System Products and Research Prototypes
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    Chapter 16 Data Mining in Customer Value and Customer Relationship Management
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    Chapter 17 Data Mining in Business
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    Chapter 18 Data Mining in Sales Marketing and Finance
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    Chapter 19 Banking and Commercial Applications
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    Chapter 20 Data Mining for Insurance
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    Chapter 21 Data Mining in Biomedicine and Science
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    Chapter 22 Text and Web Mining
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    Chapter 23 Data Mining in Information Analysis and Delivery
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    Chapter 24 Data Mining in Telecommunications and Control
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    Chapter 25 Data Mining in Security
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3 Wikipedia pages

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mendeley
267 Mendeley
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Title
Introduction to Data Mining and its Applications
Published by
Springer Berlin Heidelberg, January 2006
DOI 10.1007/978-3-540-34351-6
ISBNs
978-3-54-034350-9, 978-3-54-034351-6
Authors

S. Sumathi, S. N. Sivanandam, Sumathi, S., Sivanandam, S. N.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 267 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 3 1%
Germany 2 <1%
Italy 2 <1%
United States 2 <1%
Ireland 1 <1%
Czechia 1 <1%
Canada 1 <1%
United Kingdom 1 <1%
Spain 1 <1%
Other 1 <1%
Unknown 252 94%

Demographic breakdown

Readers by professional status Count As %
Student > Master 77 29%
Student > Ph. D. Student 40 15%
Student > Bachelor 31 12%
Researcher 22 8%
Other 17 6%
Other 51 19%
Unknown 29 11%
Readers by discipline Count As %
Computer Science 115 43%
Engineering 38 14%
Business, Management and Accounting 20 7%
Mathematics 10 4%
Agricultural and Biological Sciences 9 3%
Other 41 15%
Unknown 34 13%