Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/2623
Title: Effective techniques for association rule mining and associative classification
Authors: Do, Tien Dung
Keywords: DRNTU::Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence
Issue Date: 2007
Source: Do, T. D. (2007). Effective techniques for association rule mining and associative classification. Doctoral thesis, Nanyang Technological University, Singapore.
Abstract: This research aims to develop effective techniques for enhancing association rule mining and associative classification. In particular, for association rule mining, we investigate new techniques for measure and constraint for association rules. For associative classification, we investigate new techniques for discovering association rules effectively for classification, especially from large datasets.
URI: https://hdl.handle.net/10356/2623
DOI: 10.32657/10356/2623
Rights: Nanyang Technological University
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:SCSE Theses

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