Advances in Data Mining. Theoretical Aspects and Applications
Publication year: 2007
ISBN: 978-3-540-73435-2
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The book range from aspects of classification and prediction, clustering, Web mining, data mining in medicine, applications of data mining, time series and frequent pattern mining, and association rule mining.
Subject: Computer Science, algorithmic learning, algorithms, association rule mining, classification, clustering, cognition, computer vision, feature selection, filtering, genetic algorithms, inductive logic programming, knowledge dis, learning, optimization, proving
