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£73.29

Springer Advances in K-means Clustering: A Data Mining Thinking (Springer Theses)

Name: Advances in K-means Clustering: A Data Mining Thinking (Springer Theses)
Brand: Springer
Price: 73.29 GBP
Availability: InStock

Econometrics

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Description

Nearly everyone knows K-means algorithm in the fields of data mining and business intelligence. But the ever-emerging data with extremely complicated characteristics bring new challenges to this "old" algorithm. This book addresses these challenges and makes novel contributions in establishing theoretical frameworks for K-means distances and K-means based consensus clustering, identifying the "dangerous" uniform effect and zero-value dilemma of K-means, adapting right measures for cluster validity, and integrating K-means with SVMs for rare class analysis. This book not only enriches the clustering and optimization theories, but also provides good guidance for the practical use of K-means, especially for important tasks such as network intrusion detection and credit fraud prediction. The thesis on which this book is based has won the "2010 National Excellent Doctoral Dissertation Award", the highest honor for not more than 100 PhD theses per year in China.

Product Specifications

Brand: Springer
Format: paperback
ASIN: 3642447570
Category: Books > Subjects > Business, Finance & Law > Economics > Econometrics
Domain: Amazon UK
Publication Date: 09 August 2014
Listed Since: 09 August 2014

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Springer Advances in K-means Clustering: A Data Mining Thinking (Springer Theses)

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