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Data Mining: Introductory and Advanced Topics

Data Mining: Introductory and Advanced Topics

Author(s):
  • Margaret H. Dunham
    • Author: Margaret H. Dunham
    • ISBN:9788177587852
    • 10 Digit ISBN:8177587854
    • Price:Rs. 935.00
    • Pages:328
    • Imprint:Pearson Education
    • Binding:Paperback
    • Status:Available


    Ratings:

    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.

    Table of Content

    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

    Salient Features

    • Covers advanced topics such as Web Mining and Spatial/Temporal Mining.
    • Includes succinct coverage of Data Warehousing, OLAP, Multidimensional Data, and Preprocessing.
    • Concise coverage on distributed, parallel, and incremental algorithms.
    • Provides case studies.
    • Offers clearly written algorithms to better understand techniques.
    • Algorithms are presented in a pseudocode.
    • Includes a reference on how to use Prototypes and DM products.