Rule mining and missing-Value prediction in the presence of data ambiguities

Kasun Wickramaratna; Miroslav Kubat; Kamal Premaratne; Thanuka Wickramarathne

Rule mining and missing-Value prediction in the presence of data ambiguities

Kasun Wickramaratna, Miroslav Kubat, Kamal Premaratne, Thanuka Wickramarathne

Electrical and Computer Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

The success of knowledge discovery in real-world domains often depends on our ability to handle data imperfections. Here we study this problem in the framework of association mining, seeking to identify frequent itemsets in transactional databases where the presence of some items in a given transaction is unknown. We want to use the frequent itemsets to predict "missing items": based on the partial contents of a shopping cart, predict what else will be added. We describe a technique that addresses this task, and report experiments illustrating its behavior.

Original language	English
Title of host publication	Proceedings of the 22nd International Florida Artificial Intelligence Research Society Conference, FLAIRS-22
Pages	361-366
Number of pages	6
State	Published - Nov 4 2009
Event	22nd International Florida Artificial Intelligence Research Society Conference, FLAIRS-22 - Sanibel Island, FL, United States Duration: Mar 19 2009 → Mar 21 2009

Other

Other	22nd International Florida Artificial Intelligence Research Society Conference, FLAIRS-22
Country	United States
City	Sanibel Island, FL
Period	3/19/09 → 3/21/09

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ASJC Scopus subject areas

Artificial Intelligence
Computer Networks and Communications
Software

Cite this

Wickramaratna, K., Kubat, M., Premaratne, K., & Wickramarathne, T. (2009). Rule mining and missing-Value prediction in the presence of data ambiguities. In Proceedings of the 22nd International Florida Artificial Intelligence Research Society Conference, FLAIRS-22 (pp. 361-366)

Rule mining and missing-Value prediction in the presence of data ambiguities. / Wickramaratna, Kasun; Kubat, Miroslav ; Premaratne, Kamal; Wickramarathne, Thanuka.

Proceedings of the 22nd International Florida Artificial Intelligence Research Society Conference, FLAIRS-22. 2009. p. 361-366.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Wickramaratna, K, Kubat, M , Premaratne, K & Wickramarathne, T 2009, Rule mining and missing-Value prediction in the presence of data ambiguities. in Proceedings of the 22nd International Florida Artificial Intelligence Research Society Conference, FLAIRS-22. pp. 361-366, 22nd International Florida Artificial Intelligence Research Society Conference, FLAIRS-22, Sanibel Island, FL, United States, 3/19/09.

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Rule mining and missing-Value prediction in the presence of data ambiguities

Abstract

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ASJC Scopus subject areas

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