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Chapter

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Title

Evaluation of Common Counting Method for Concurrent Data Mining Queries

Authors

[ 1 ] Instytut Informatyki (II), Wydział Informatyki i Zarządzania, Politechnika Poznańska | [ P ] employee

Year of publication

2003

Chapter type

paper

Publication language

english

Abstract

EN Data mining queries are often submitted concurrently to the data mining system. The data mining system should take advantage of overlapping of the mined datasets. In this paper we focus on frequent itemset mining and we discuss and experimentally evaluate the implementation of the Common Counting method on top of the Apriori algorithm. The general idea of Common Counting is to reduce the number of times the common parts of the source datasets are scanned during the processing of the set of frequent pattern queries.

Pages (from - to)

76 - 87

DOI

10.1007/978-3-540-39403-7_8

URL

https://link.springer.com/chapter/10.1007/978-3-540-39403-7_8

Book

Advances in Databases and Information Systems : 7th East European Conference, ADBIS 2003, Dresden, Germany, September 3-6, 2003, Proceedings

Presented on

7th East European Conference on Advances in Databases and Information Systems ADBIS 2003, 3-6.09.2003, Dresden, Germany

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