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.
Die Inhaltsangabe kann sich auf eine andere Ausgabe dieses Titels beziehen.
Dr 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 & Analytics. He is a recipient of the AICTE grant and has guided 2 Ph.D. He has authored 2 books and published several papers.
„Über diesen Titel“ kann sich auf eine andere Ausgabe dieses Titels beziehen.
Anbieter: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Deutschland
Taschenbuch. Zustand: 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. Bestandsnummer des Verkäufers 9786203930801
Anzahl: 2 verfügbar
Anbieter: moluna, Greven, Deutschland
Zustand: 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. Bestandsnummer des Verkäufers 494424057
Anzahl: Mehr als 20 verfügbar
Anbieter: preigu, Osnabrück, Deutschland
Taschenbuch. Zustand: 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. Bestandsnummer des Verkäufers 120444528
Anzahl: 5 verfügbar
Anbieter: buchversandmimpf2000, Emtmannsberg, BAYE, Deutschland
Taschenbuch. Zustand: 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. Bestandsnummer des Verkäufers 9786203930801
Anzahl: 1 verfügbar
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Taschenbuch. Zustand: 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. Bestandsnummer des Verkäufers 9786203930801
Anzahl: 1 verfügbar