Semantic Web Based Data Cloud: Mining Association rules - Softcover

Lal, Kanhaiya

Softcover

ISBN 10: 365920448X ISBN 13: 9783659204487

Verlag: LAP LAMBERT Academic Publishing, 2012

Inhaltsangabe

Data mining is a treatment process to extract useful and interesting knowledge from large amount of data. The knowledge modes data mining discovered have a variety of different types. The common patterns are: association mode, classification model, class model, sequence pattern and so on. Mining association rules is one of the most important aspects in data mining. Association rules are dependency rules which predict occurrence of an item based on occurrences of other items. The process of building the Semantic Web is currently an area of high activity. Its structure has to be defined, and this structure then has to be filled with life. Cloud computing is a highly touted recent phenomenon. The cloud may move data or computation to improve responsiveness. Some clouds monitor their offerings for malicious activity Visualization. Hardware resources in clouds are usually Virtual; they are shared by multiple users to improve efficiency. This book deals technique of association rules mining in semantic web based data cloud. KEY FEATURES: Explains the basic knowledge of cloud computing, Data & web mining. Provides Concept of Association rules & Algorithm for mining Association Rules.

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Über die Autorin bzw. den Autor

Kanhaiya Lal is an Assistant Professor of Computer Sc. & Engg. Dept. at Birla Institute of Technology Ranchi India. He received his Ph.D in Science ,M.Tech & B.Engg. in Computer Sc. from B.I.T Ranchi, having 18 years experience in teaching. He is the author of many articles in journals and proceedings. His research area include Data mining & A.I.

Details zur Ausgabe

• Verlag: LAP LAMBERT Academic Publishing
• Erscheinungsdatum: 2012
• Sprache: Englisch
• ISBN 10: 365920448X
• ISBN 13: 9783659204487
• Einband: Taschenbuch
• Anzahl der Seiten: 88
• Kontakt zum Hersteller: Nicht verfügbar
• Verantwortliche Person: Betascript Publishing; customerservice@vdm-vsg.de; ; Brivibas gatve 197; Riga; 1039; Lettland