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Wynne Hsu

Researcher at National University of Singapore

Publications -  290
Citations -  14440

Wynne Hsu is an academic researcher from National University of Singapore. The author has contributed to research in topics: Association rule learning & XML. The author has an hindex of 51, co-authored 278 publications receiving 12682 citations. Previous affiliations of Wynne Hsu include Association for Computing Machinery & Columbia University.

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Proceedings Article

Integrating classification and association rule mining

TL;DR: The integration is done by focusing on mining a special subset of association rules, called class association rules (CARs), and shows that the classifier built this way is more accurate than that produced by the state-of-the-art classification system C4.5.
Proceedings ArticleDOI

Mining association rules with multiple minimum supports

TL;DR: This paper proposes a novel technique that allows the user to specify multiple minimum supports to reflect the natures of the items and their varied frequencies in the database and shows that the technique is very effective.
Proceedings ArticleDOI

Pruning and summarizing the discovered associations

TL;DR: The technique first prunes the discovered associations to remove those insignificant associations, and then finds a special subset of the unpruned associations to form a summary of the discovered association rules, which are then called the direction setting rules.
Proceedings ArticleDOI

A prime number labeling scheme for dynamic ordered XML trees

TL;DR: This work proposes a new labeling scheme that take advantage of the unique property of prime numbers to meet the need for efficient support to order-sensitive queries and updates of XML queries.