Cleaning Uncertain Database with Aggregate Constraints Based on the Modified Simulated Annealing Algorithm

In this paper, we investigate the problem how to clean uncertain data with aggregate constraints in order to reduce the uncertainty and clean the dirty data in uncertain data sets. We find the shortages by analyzing the existing model and methods for cleaning uncertain data with aggregate constraint...

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Published inApplied Mechanics and Materials Vol. 713-715; no. Mechatronics Engineering and Modern Information Technologies in Industrial Engineering; pp. 1661 - 1664
Main Authors Liu, Bin, Liu, Qing Bao, Shan, Ji Cheng
Format Journal Article
LanguageEnglish
Published Zurich Trans Tech Publications Ltd 01.01.2015
Subjects
Aggregates
Algorithms
Cleaning
Constraint modelling
Efficiency
Shortages
Simulated annealing
Uncertain Database
Data Cleaning
Modified Simulated Annealing Algorithm
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Summary:In this paper, we investigate the problem how to clean uncertain data with aggregate constraints in order to reduce the uncertainty and clean the dirty data in uncertain data sets. We find the shortages by analyzing the existing model and methods for cleaning uncertain data with aggregate constraints. We modified the existing Object Function model in literature and designed an appropriate algorithm for our problem by studying the Modified Simulated Annealing algorithm. Our experiments verify the efficiency and effectiveness of our algorithm.
Bibliography:Selected, peer reviewed papers from the 2014 International Conference on Mechatronics Engineering and Modern Technologies in Industrial Engineering (MEMTIE 2014), October 25-26, 2014, Changsha, Hunan, China
ObjectType-Article-1
SourceType-Scholarly Journals-1
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ISBN:9783038353799
3038353795
ISSN:1660-9336
1662-7482
1662-7482
DOI:10.4028/www.scientific.net/AMM.713-715.1661