Association Rule Mining plays a vital role in many significant data mining tasks such as Frequent pattern mining, associations, sequential patterns, closed and colossal patterns, etc. The exponential increase in the availability of progressive and high dimensional datasets such as microarray and gene expression data with varying features enables to study of the performance of association rule mining techniques for efficient rule discovery. This book emphasizes the assessment of the performance of discovering association rules with Doubleton Pattern Mining (DPM) methods for mining various types of frequent patterns from high dimensional progressive data sets.
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Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Association Rule Mining plays a vital role in many significant data mining tasks such as Frequent pattern mining, associations, sequential patterns, closed and colossal patterns, etc. The exponential increase in the availability of progressive and high dimensional datasets such as microarray and gene expression data with varying features enables to study of the performance of association rule mining techniques for efficient rule discovery. This book emphasizes the assessment of the performance of discovering association rules with Doubleton Pattern Mining (DPM) methods for mining various types of frequent patterns from high dimensional progressive data sets. 200 pp. Englisch. N° de réf. du vendeur 9786203930801
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Vendeur : moluna, Greven, Allemagne
Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Prasanna Dr KDr K Prasanna received Ph.D. in CSE from JNTU-Hyderabad and currently working as Associate Professor in CSE, AITS, Rajampet. His research interests Data Mining, Artificial Intelligence, Machine Learning, and Data Science. N° de réf. du vendeur 494424057
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Vendeur : preigu, Osnabrück, Allemagne
Taschenbuch. Etat : Neu. Association Rule Mining on Progressive and High Dimensional Data | A Doubleton Pattern Mining Approach | K. Prasanna | Taschenbuch | Englisch | 2021 | LAP LAMBERT Academic Publishing | EAN 9786203930801 | Verantwortliche Person für die EU: LAP Lambert Academic Publishing, Brivibas Gatve 197, 1039 RIGA, LETTLAND, customerservice[at]vdm-vsg[dot]de | Anbieter: preigu. N° de réf. du vendeur 120444528
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Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne
Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -Association Rule Mining plays a vital role in many significant data mining tasks such as Frequent pattern mining, associations, sequential patterns, closed and colossal patterns, etc. The exponential increase in the availability of progressive and high dimensional datasets such as microarray and gene expression data with varying features enables to study of the performance of association rule mining techniques for efficient rule discovery. This book emphasizes the assessment of the performance of discovering association rules with Doubleton Pattern Mining (DPM) methods for mining various types of frequent patterns from high dimensional progressive data sets.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 200 pp. Englisch. N° de réf. du vendeur 9786203930801
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Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Association Rule Mining plays a vital role in many significant data mining tasks such as Frequent pattern mining, associations, sequential patterns, closed and colossal patterns, etc. The exponential increase in the availability of progressive and high dimensional datasets such as microarray and gene expression data with varying features enables to study of the performance of association rule mining techniques for efficient rule discovery. This book emphasizes the assessment of the performance of discovering association rules with Doubleton Pattern Mining (DPM) methods for mining various types of frequent patterns from high dimensional progressive data sets. N° de réf. du vendeur 9786203930801
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