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Chapter

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Title

Efficient Processing of Streams of Frequent Itemset Queries

Authors

[ 1 ] Instytut Informatyki, Wydział Informatyki, Politechnika Poznańska | [ P ] employee

Year of publication

2015

Chapter type

paper

Publication language

english

Keywords
EN
  • data mining
  • frequent itemsets
  • data mining queries
Abstract

EN Frequent itemset mining is one of fundamental data mining problems that shares many similarities with traditional database querying. Hence, several query optimization techniques known from database systems have been successfully applied to frequent itemset queries, including reusing results of previous queries and multi-query optimization. In this paper, we consider a new problem of processing of streams of incoming frequent itemset queries, where like in multi-query optimization a number of queries are executed together and share some of their operations, but unlike in previously considered scenarios, new queries are dynamically being added to the currently processed set of queries.

Pages (from - to)

15 - 26

DOI

10.1007/978-3-319-10518-5_2

URL

https://link.springer.com/chapter/10.1007/978-3-319-10518-5_2

Book

New Trends in Database and Information Systems II

Presented on

18th East European Conference on Advances in Databases and Information Systems and Associated Satellite Events, ADBIS 2014, 7-10.09.2014, Ohrid, Macedonia

Publication indexed in

WoS (15)

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