Vertical Association Rule Mining: From Data Representation to Data Mining - Couverture souple

Rahal, Imad

 
9783639083019: Vertical Association Rule Mining: From Data Representation to Data Mining

Synopsis

This book provides a unique and fairly comprehensive treatment of a popular data mining task known as “association rule mining.” At the heart of this book, a vertical framework (based on the patented P-tree technology along with other well-known artificial intelligence techniques) for data representation and data mining is described. The framework is adapted to environments that require “divide and conquer” parallel processing or pruning beyond the ubiquitous support-based pruning. Along with the theory, the book highlights the versatility of the presented framework in different application domains ranging from citation analysis to precision agriculture and bioinformatics.

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Présentation de l'éditeur

This book provides a unique and fairly comprehensive treatment of a popular data mining task known as “association rule mining.” At the heart of this book, a vertical framework (based on the patented P-tree technology along with other well-known artificial intelligence techniques) for data representation and data mining is described. The framework is adapted to environments that require “divide and conquer” parallel processing or pruning beyond the ubiquitous support-based pruning. Along with the theory, the book highlights the versatility of the presented framework in different application domains ranging from citation analysis to precision agriculture and bioinformatics.

Biographie de l'auteur

Dr. Rahal is an Assistant Prof. of Computer Science at the College of St. Benedict and St. John''s Univ. He has a Ph.D. and an M.S. from North Dakota State Univ. Dr. Perrizo is a Distinguished Prof. of Computer Science at North Dakota State Univ. He holds a Ph.D. from the Univ. of Minnesota and an M.S. from the Univ. of Wisconsin.

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