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This repository provides metadata of IIMB Publications and aimed at creating and preserving an archive of Institution scholarship. IIMB Publications include Articles, Working Papers (FULL TEXT), Book Chapters published by Faculty, Doctoral Dissertations by FPM Scholars and Project reports of Students enrolled in various courses of IIMB.
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https://repository.iimb.ac.in/handle/2074/11890| Title: | A relatedness-based data-driven approach to determination of interestingness of association rules | Authors: | Natarajan, Rajesh Shekar, B |
Keywords: | Association rules;Data mining;Interestingness;Relatedness | Issue Date: | 2005 | Publisher: | Association for Computing Machinery | Related Publication: | Proceedings of the ACM Symposium on Applied Computing | Conference: | 20th Annual ACM Symposium on Applied Computing: 13-17 March, 2005, Santa Fe, NM; United States | Abstract: | The presence of unrelated or weakly related item-pairs can help in identifying Interesting Association Rules (ARs) in a market basket. We introduce three measures for capturing the extent of mutual interaction, substitutive and complementary relationships between two items. Item-relatedness, a composite of these relationships, can help to rank interestingness of an AR. The approach presented, is intuitive and can complement and enhance classical objective measures of interestingness. Copyright 2005 ACM. | URI: | https://repository.iimb.ac.in/handle/2074/11890 | ISBN: | 9781581139648 | DOI: | 10.1145/1066677.1066803 |
| Appears in Collections: | 2000-2009 |
Files in This Item:
| File | Size | Format | |
|---|---|---|---|
| Shekar_ACM_2005_Vol.1_P.551-552.pdf | 127.95 kB | Adobe PDF | View/Open |
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