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Classification using association rules by Rajanish Dass (Working Paper, No. 2008-01-05 2081)

By: Dass, Rajanish.
Material type: materialTypeLabelBookPublisher: Ahmedabad Indian Institute of Management 2008Description: 52 p.Subject(s): Association rule | Data miningDDC classification: WP 2008-01-05 (2081) Summary: Association rule mining is a well-known technique in data mining. Classification using association rules combines association rule mining and classification, and is therefore concerned with finding rules that accurately predict a single target (class) variable. The key strength of association rule mining is that all interesting rules are found. The number of associations present in even moderate sized databases can be, however, very large ~ usually too large to be applied directly for classification purposes.
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Working Paper Vikram Sarabhai Library
WP 2008-01-05 (2081) (Browse shelf) Available WP002081

Association rule mining is a well-known technique in data mining. Classification using association rules combines association rule mining and classification, and is therefore concerned with finding rules that accurately predict a single target (class) variable. The key strength of association rule mining is that all interesting rules are found. The number of associations present in even moderate sized databases can be, however, very large ~ usually too large to be applied directly for classification purposes.

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