A method for association rule quality evaluation based on information theory

Sitnikov, D.; Titova, O.; Ryabov, O.

Публікація:
A method for association rule quality evaluation based on information theory

dc.contributor.author	Sitnikov, D.
dc.contributor.author	Titova, O.
dc.contributor.author	Ryabov, O.
dc.date.accessioned	2018-06-04T18:46:56Z
dc.date.available	2018-06-04T18:46:56Z
dc.date.issued	2006
dc.description.abstract	The concept of patterns representing functional, logical and other dependencies in data lies in the basis of the Data Mining technology. One of the wide spread forms for representing discovered knowledge patterns is association rules. A method for evaluating an association rule from the viewpoint of information theory has been suggested, which allows us to calculate a generalized characteristic of associations (based on mutual information) with the help of the well known association rule parameters: Support, Confidence and Improvement. Using such a characteristic of associations complements the traditional association parameters and allows setting a linear order on the set of associations, which is useful for evaluating and filtering obtained dependencies. Besides we have carried out analysis of the dependence of the association rule self-descriptiveness on the standard parameters.	uk_UA
dc.identifier.citation	Sitnikov D. A method for association rule quality evaluation based on information theory / D. Sitnikov, O. Titova, O. Ryabov // WIT Transactions on Information and Communication Technologies. – 2006. – V. 37. – P. 25-34.	uk_UA
dc.identifier.uri	http://openarchive.nure.ua/handle/document/5787
dc.language.iso	en	uk_UA
dc.publisher	WIT Transactions on Information and Communication Technologies	uk_UA
dc.subject	association rules	uk_UA
dc.subject	data mining	uk_UA
dc.subject	parameter estimation	uk_UA
dc.title	A method for association rule quality evaluation based on information theory	uk_UA
dc.type	Article	uk_UA
dspace.entity.type	Publication