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Foundations and Advances in Data Mining

PUBLISHER Springer (11/16/2014)
PRODUCT TYPE Paperback (Paperback)

Description
The Mathematics of Learning.- Logical Regression Analysis: From Mathematical Formulas to Linguistic Rules.- A Feature/Attribute Theory for Association Mining and Constructing the Complete Feature Set.- A New Theoretical Framework for K-means-type Clustering.- Clustering via Decision Tree Construction.- Incremental Mining on Association Rules.- Mining Association Rules from Tabular Data Guided by Maximal Frequent Itemsets.- Sequential Pattern Mining by Pattern-Growth: Principles and Extensions.- Web Page Classification.- Web Mining - Concepts, Applications, and Research Directions.- Privacy-Preserving Data Mining.
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Product Format
Product Details
ISBN-13: 9783642425387
ISBN-10: 3642425380
Binding: Paperback or Softback (Trade Paperback (Us))
Content Language: English
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Page Count: 342
Carton Quantity: 22
Product Dimensions: 6.14 x 0.74 x 9.21 inches
Weight: 1.09 pound(s)
Feature Codes: Illustrated
Country of Origin: NL
Subject Information
BISAC Categories
Mathematics | Applied
Mathematics | Information Technology
Mathematics | Artificial Intelligence - General
Dewey Decimal: 006.312
Descriptions, Reviews, Etc.
jacket back

With the growing use of information technology and the recent advances in web systems, the amount of data available to users has increased exponentially. Thus, there is a critical need to understand the content of the data. As a result, data-mining has become a popular research topic in recent years for the treatment of the "data rich and information poor" syndrome. In this carefully edited volume a theoretical foundation as well as important new directions for data-mining research are presented. It brings together a set of well respected data mining theoreticians and researchers with practical data mining experiences. The presented theories will give data mining practitioners a scientific perspective in data mining and thus provide more insight into their problems, and the provided new data mining topics can be expected to stimulate further research in these important directions.

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The Mathematics of Learning.- Logical Regression Analysis: From Mathematical Formulas to Linguistic Rules.- A Feature/Attribute Theory for Association Mining and Constructing the Complete Feature Set.- A New Theoretical Framework for K-means-type Clustering.- Clustering via Decision Tree Construction.- Incremental Mining on Association Rules.- Mining Association Rules from Tabular Data Guided by Maximal Frequent Itemsets.- Sequential Pattern Mining by Pattern-Growth: Principles and Extensions.- Web Page Classification.- Web Mining - Concepts, Applications, and Research Directions.- Privacy-Preserving Data Mining.
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Editor: Chu, Wesley
WESLEY CHU was a finalist for the John W. Campbell Award for Best New Writer. His debut novel, "The Lives of Tao", earned him a Young Adult Library Services Association Alex Award and a Science Fiction Goodreads Choice Award Finalist slot.
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List Price $169.99
Your Price  $168.29
Paperback