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A sampling-based framework for crowdsourced select query with multiple predicates

  • Jianhong Feng*
  • , Huiqi Hu
  • , Xueping Weng
  • , Jianhua Feng
  • , Yongwei Wu
  • *此作品的通讯作者

科研成果: 书/报告/会议事项章节会议稿件同行评审

摘要

In this paper, we consider the crowdsourced select query with multiple predicates.We find that different predicates have different selectivities. An important problem is to determine a good predicate order. However it is rather hard to obtain an optimal order. To address this problem, we propose a sampling-based framework to find a high-quality order. We devise a minimum random selection method by randomly selecting the predicate sequence. Since minimum random selection randomly selects predicate permutations over predicates, which may bring large cost, we propose a filtering based algorithm to further reduce the cost. We evaluate our method using a real-world dataset. Experimental results indicate that our methods significantly reduce the monetary cost.

源语言英语
主期刊名Web-Age Information Management - 16th International Conference, WAIM 2015, Proceedings
编辑Yizhou Sun, Jian Li
出版商Springer Verlag
525-529
页数5
ISBN(电子版)9783319210414
DOI
出版状态已出版 - 2015
已对外发布
活动16th International Conference on Web-Age Information Management, WAIM 2015 - Qingdao, 中国
期限: 8 6月 201510 6月 2015

出版系列

姓名Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
9098
ISSN(印刷版)0302-9743
ISSN(电子版)1611-3349

会议

会议16th International Conference on Web-Age Information Management, WAIM 2015
国家/地区中国
Qingdao
时期8/06/1510/06/15

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