Data Mining: Introductory and Advanced Topics, 1/e

Data Mining: Introductory and Advanced Topics, 1/e (Paperback)

Publisher: Pearson
Edition: Paperback
Edition Number: 1
EAN: 9788177587852
No. of Pages: 328
Binding: Paperback
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Description

Market: For undergraduate courses in Computer Science & Information Technology / MCA In this book the author provides the reader with a comprehensive coverage of data mining topics and algorithms. Data base perspective is maintained throughout the book which provides students with a focused discussion of algorithms, data structures, data types and complexity of algorithms and space. It also emphasizes the use of data mining concepts in real-world applications with large database components.


  1. Introduction
    1. Introduction
    2. Related Concepts
    3. Data Mining Techniques
  2. Core Topics
    1. Classification
    2. Clustering
    3. Association Rules
  3. Advanced Topics
    1. Web Mining
    2. Spatial Mining
    3. Temporal Mining
    • Appendix
    • Index
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Specification

Title: Data Mining: Introductory and Advanced Topics, 1/e
Publisher: Pearson
Edition: Paperback
Edition Number: 1
EAN: 9788177587852
No. of Pages: 328
Binding: Paperback

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