Effective techniques for association rule mining and associative classification

Effective techniques for association rule mining and associative classification

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 tech...

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Main Author: Do, Tien Dung
Other Authors: Hui Siu Cheung
Format: Theses and Dissertations
Published: 2008
Subjects:
DRNTU::Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence
Online Access:https://hdl.handle.net/10356/2623
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Institution: Nanyang Technological University
id sg-ntu-dr.10356-2623
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spelling sg-ntu-dr.10356-26232023-03-04T00:43:54Z Effective techniques for association rule mining and associative classification Do, Tien Dung Hui Siu Cheung School of Computer Engineering DRNTU::Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence 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. DOCTOR OF PHILOSOPHY(SCE) 2008-09-17T09:06:32Z 2008-09-17T09:06:32Z 2007 2007 Thesis Do, T. D. (2007). Effective techniques for association rule mining and associative classification. Doctoral thesis, Nanyang Technological University, Singapore. https://hdl.handle.net/10356/2623 10.32657/10356/2623 Nanyang Technological University application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
topic DRNTU::Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence
spellingShingle DRNTU::Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence
Do, Tien Dung
Effective techniques for association rule mining and associative classification
description 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.
author2 Hui Siu Cheung
author_facet Hui Siu Cheung
Do, Tien Dung
format Theses and Dissertations
author Do, Tien Dung
author_sort Do, Tien Dung
title Effective techniques for association rule mining and associative classification
title_short Effective techniques for association rule mining and associative classification
title_full Effective techniques for association rule mining and associative classification
title_fullStr Effective techniques for association rule mining and associative classification
title_full_unstemmed Effective techniques for association rule mining and associative classification
title_sort effective techniques for association rule mining and associative classification
publishDate 2008
url https://hdl.handle.net/10356/2623
_version_ 1759857358045970432

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