Methods for Mining Cross Level Association Rule In Taxonomy Data Structures | Zendy

V. Venkata Ramana | Zendy; M. V. Rathnamma | Zendy; A. Rama Mohan Reddy | Zendy

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Methods for Mining Cross Level Association Rule In Taxonomy Data Structures

Author(s) -

V. Venkata Ramana,

M. V. Rathnamma,

A. Rama Mohan Reddy

Publication year - 2010

Publication title -

international journal of computer applications

Language(s) - English

Resource type - Journals

ISSN - 0975-8887

DOI - 10.5120/1144-1497

Subject(s) - computer science , association rule learning , taxonomy (biology) , association (psychology) , data mining , data science , information retrieval , psychology , botany , psychotherapist , biology

Mining of association rules mainly focuses at a single conceptual level. In a large database of transaction, where each transaction consists of a set of items, and taxonomy on items, it is required to find out the associations at multiple conceptual levels. In this paper, multilevel association rule mining algorithms have been evaluated and compared. And we will discover additional strong association rules in taxonomy data items. The performance indices used for performance comparisons are minimum support threshold at different levels and varying number of transactions.

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