Efficient Frequent Closed Itemset Algorithms With Applications To Stream Mining And Classification

Efficient Frequent Closed Itemset Algorithms With Applications To Stream Mining And Classification

Data mining is an area to find valid, novel, potentially useful, and ultimately understandable abstractions in a data. Frequent itemset mining is one of the important data mining approaches to find those abstractions in the form of patterns. Frequent Closed itemsets provide complete and condensed in...

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Bibliographic Details
Main Author: Ranganath, B N
Other Authors: Narasimha Murty, M
Language:en_US
Published: 2010
Subjects:
Data Mining
Classification - Algorithms
Frequent Itemset Mining
Clustered Itemsets
Data Stream Mining
Locality Sensitive Hashing
Stream-Close Algorithm
Associative Classification
Clustered Frequent Itemsets
Closed Frequent Itemsets
Stream Mining
Computer Science
Online Access:http://hdl.handle.net/2005/830

Internet

http://hdl.handle.net/2005/830

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