Quest
ACM SIGMOD RecordPublished 24 May 1994
R. K. Agrawal, Mike Carey, Christos Faloutsos, Soumyadip Ghosh, M.A.W. Houtsma, Tomasz Imieliński
Citations32
SJR quartileQ2
SJR score0.69
SNIP0.92
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Abstract
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Keywords
Computer Science
Mining association rules between sets of items in large databases
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An efficient algorithm is presented that generates all significant association rules between items in the database of customer transactions and incorporates buffer management and novel estimation and pruning techniques.
Lecture notes in computer scienceEfficient similarity search in sequence databases
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The authors' perspective of database mining as the confluence of machine learning techniques and the performance emphasis of database technology is presented and an algorithm for classification obtained by combining the basic rule discovery operations is given.
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Preliminary experimental results indicate that IC not only has retrieval and classi cation accuracy advantages, but also compares favorably with current tree classi ers, such as ID3, which were primarily designed for minimizing classiCation errors.
