A
Ashoka Savasere
Researcher at Georgia Institute of Technology
Publications - 4
Citations - 2187
Ashoka Savasere is an academic researcher from Georgia Institute of Technology. The author has contributed to research in topics: Association rule learning & Overhead (computing). The author has an hindex of 4, co-authored 4 publications receiving 2167 citations.
Papers
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Proceedings Article
An Efficient Algorithm for Mining Association Rules in Large Databases
TL;DR: This paper presents an efficient algorithm for mining association rules that is fundamentally different from known algorithms and not only reduces the I/O overhead significantly but also has lower CPU overhead for most cases.
Proceedings ArticleDOI
Mining for strong negative associations in a large database of customer transactions
TL;DR: An algorithm is described that efficiently finds all such negative associations by combining previously discovered positive associations with domain knowledge to constrain the search space such that fewer but more interesting negative rules are mined.
Book ChapterDOI
Efficient Mining of Association Rules in Large Dynamic Databases
TL;DR: This paper presents an efficient algorithm for mining association rules within the context of a dynamic database, (i.e., a database where transactions can be added) and is an extension of the Partition algorithm which was shown to reduce the I/O overhead significantly as well as to lower the CPU overhead for most cases when compared with the performance of one of the best existing association mining algorithms.