Advanced Information and Knowledge Processing

Advanced Techniques in Knowledge Discovery and Data Mining

Editors: Pal, Nikhil (Ed.)

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About this book

Data mining and knowledge discovery (DMKD) is a rapidly expanding field in computer science. It has become very important because of an increased demand for methodologies and tools that can help the analysis and understanding of huge amounts of data generated on a daily basis by institutions like hospitals, research laboratories, banks, insurance companies, and retail stores and by Internet users. This explosion is a result of the growing use of electronic media. But what is data mining (DM)? A Web search using the Google search engine retrieves many (really many) definitions of data mining. We include here a few interesting ones. One of the simpler definitions is: “As the term suggests, data mining is the analysis of data to establish relationships and identify patterns” [1]. It focuses on identifying relations in data. Our next example is more elaborate: An information extraction activity whose goal is to discover hidden facts contained in databases. Using a combination of machine learning, statistical analysis, modeling techniques and database technology, data mining finds patterns and subtle relationships in data and infers rules that allow the prediction of future results. Typical applications include market segmentation, customer profiling, fraud detection, evaluation of retail promotions, and credit risk analysis [2].

Reviews

From the reviews:

"This book presents research on some of the recent advances in the field of DMKD, and provides a glimpse into some real-world applications. … book starts with a preface by the editors, including background information as well as an overview of the book’s contents. … The overall layout and the length of the volume … appear to be satisfactory. … postgraduate students and the faculty members in the business intelligence or DMKD fields would find this volume to be a useful addition to their libraries." (C. S. Arora, Computing Reviews, April, 2006)


Table of contents (9 chapters)

  • Trends in Data Mining and Knowledge Discovery

    Cios, Krzysztof J. (et al.)

    Pages 1-26

  • Advanced Methods for the Analysis of Semiconductor Manufacturing Process Data

    König, Andreas (et al.)

    Pages 27-74

  • Clustering and Visualization of Retail Market Baskets

    Ghosh, Joydeep (et al.)

    Pages 75-102

  • Segmentation of Continuous Data Streams Based on a Change Detection Methodology

    Zeira, Gil (et al.)

    Pages 103-126

  • Instance Selection Using Evolutionary Algorithms: An Experimental Study

    Cano, José Ramón (et al.)

    Pages 127-152

Buy this book

eBook $119.00
price for USA (gross)
  • ISBN 978-1-84628-183-9
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $159.00
price for USA
  • ISBN 978-1-85233-867-1
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $159.00
price for USA
  • ISBN 978-1-4471-5752-6
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.

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Bibliographic Information

Bibliographic Information
Book Title
Advanced Techniques in Knowledge Discovery and Data Mining
Editors
  • Nikhil Pal
Series Title
Advanced Information and Knowledge Processing
Copyright
2005
Publisher
Springer-Verlag London
Copyright Holder
Springer-Verlag London
eBook ISBN
978-1-84628-183-9
DOI
10.1007/1-84628-183-0
Hardcover ISBN
978-1-85233-867-1
Softcover ISBN
978-1-4471-5752-6
Series ISSN
1610-3947
Edition Number
1
Number of Pages
XII, 256
Topics