Data Mining-Approaches to Mine Frequent Patterns: Data Mining Strategies for Transactional Databases Containing Maximal Frequent Patterns - Softcover

Gupta, Bharat

 
9783659110320: Data Mining-Approaches to Mine Frequent Patterns: Data Mining Strategies for Transactional Databases Containing Maximal Frequent Patterns
Softcover
ISBN 10: 3659110329 ISBN 13: 9783659110320
Verlag: LAP LAMBERT Academic Publishing, 2012

Inhaltsangabe

In data mining, Association rule mining becomes one of the important tasks of descriptive technique which can be defined as discovering meaningful patterns from large collection of data. Mining frequent itemset is very fundamental part of association rule mining. Many algorithms have been proposed from last many decades including horizontal layout based techniques, vertical layout based techniques, and projected layout based techniques. But most of the techniques suffer from repeated database scan, Candidate generation (Apriori Algorithms), memory consumption problem (FP-tree Algorithms) and many more for mining frequent patterns. As in retailer industry many transactional databases contain same set of transactions many times, to apply this thought, in this thesis present a new technique which is combination of present maximal Apriori (improved Apriori) and FP-tree techniques that guarantee the better performance than classical aprioi algorithm. Another aim is to study and analyze the various existing techniques for mining frequent itemsets and evaluate the performance of new techniques and compare with the existing classical Apriori and FP- tree algorithm.

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Über die Autorin bzw. den Autor

Er.Bharat Gupta has obtained his M.Tech degree from Thapar University, Punjab (India). He is a member of IEEE. He is working as assistant professor in engineering college. He is the author of several papers published in international journals. His areas of interest are algorithm design and complexity issues for data mining.

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Verlag
LAP LAMBERT Academic Publishing
Erscheinungsdatum
2012
Sprache
Englisch
ISBN 10 
3659110329
ISBN 13 
9783659110320
Einband
Taschenbuch
Anzahl der Seiten
64
Kontakt zum Hersteller
Nicht verfügbar
Verantwortliche Person
Fastbook Publishing
customerservice@vdm-vsg.de

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