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uCFS2: an enhanced system that mines uncertain data for constrained frequent sets

Published: 16 August 2010 Publication History

Abstract

Frequent set mining searches for sets of items that are frequently co-occurring together. Existing algorithms mainly find all the frequent sets from precise data. However, there are real-life situations in which users are interested in only some tiny portions of the entire collection of frequent sets and/or the data to be mined are uncertain. Recently, a tree-based system was proposed to mine uncertain data for frequent sets that satisfy user-specified succinct constraints. However, non-succinct constraints exist. In this paper, we extend such a system to mine uncertain data for frequent sets that satisfy succinct as well as non-succinct constraints by effectively exploiting properties of these constraints.

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cover image ACM Conferences
IDEAS '10: Proceedings of the Fourteenth International Database Engineering & Applications Symposium
August 2010
282 pages
ISBN:9781605589008
DOI:10.1145/1866480
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Published: 16 August 2010

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Author Tags

  1. data mining
  2. frequent patterns
  3. probabilistic databases
  4. uncertain data
  5. user constraints

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IDEAS '10
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  • Concordia University

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Overall Acceptance Rate 74 of 210 submissions, 35%

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  • (2017)A Review of Frequent Pattern Mining Algorithms for Uncertain DataProceedings of SAI Intelligent Systems Conference (IntelliSys) 201610.1007/978-3-319-56991-8_73(974-983)Online publication date: 23-Aug-2017
  • (2014)Uncertain Frequent Pattern MiningFrequent Pattern Mining10.1007/978-3-319-07821-2_14(339-367)Online publication date: 30-Aug-2014
  • (2013)Discovering frequent itemsets on uncertain dataProceedings of the 9th international conference on Machine Learning and Data Mining in Pattern Recognition10.1007/978-3-642-39712-7_30(390-404)Online publication date: 19-Jul-2013
  • (2012)Mining probabilistic datasets verticallyProceedings of the 16th International Database Engineering & Applications Sysmposium10.1145/2351476.2351500(199-204)Online publication date: 8-Aug-2012
  • (2012)A constrained frequent pattern mining system for handling aggregate constraintsProceedings of the 16th International Database Engineering & Applications Sysmposium10.1145/2351476.2351479(14-23)Online publication date: 8-Aug-2012
  • (2011)Improved travel time prediction algorithms for intelligent transportation systemsProceedings of the 15th international conference on Knowledge-based and intelligent information and engineering systems - Volume Part II10.5555/2041341.2041380(355-365)Online publication date: 12-Sep-2011
  • (2011)A landmark-model based system for mining frequent patterns from uncertain data streamsProceedings of the 15th Symposium on International Database Engineering & Applications10.1145/2076623.2076659(249-250)Online publication date: 21-Sep-2011

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