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    CrowdAidRepair: A Crowd-Aided Interactive Data Repairing Method

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    Description:
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    Type
    Book Chapter
    Authors
    Zhou, Jian cc
    Li, Zhixu
    Gu, Binbin
    Xie, Qing cc
    Zhu, Jia
    Zhang, Xiangliang cc
    Li, Guoliang
    KAUST Department
    Computer Science Program
    Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
    Date
    2016-03-25
    Online Publication Date
    2016-03-25
    Print Publication Date
    2016
    Permanent link to this record
    http://hdl.handle.net/10754/611378
    
    Metadata
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    Abstract
    Data repairing aims at discovering and correcting erroneous data in databases. Traditional methods relying on predefined quality rules to detect the conflict between data may fail to choose the right way to fix the detected conflict. Recent efforts turn to use the power of crowd in data repairing, but the crowd power has its own drawbacks such as high human intervention cost and inevitable low efficiency. In this paper, we propose a crowd-aided interactive data repairing method which takes the advantages of both rule-based method and crowd-based method. Particularly, we investigate the interaction between crowd-based repairing and rule-based repairing, and show that by doing crowd-based repairing to a small portion of values, we can greatly improve the repairing quality of the rule-based repairing method. Although we prove that the optimal interaction scheme using the least number of values for crowd-based repairing to maximize the imputation recall is not feasible to be achieved, still, our proposed solution identifies an efficient scheme through investigating the inconsistencies and the dependencies between values in the repairing process. Our empirical study on three data collections demonstrates the high repairing quality of CrowdAidRepair, as well as the efficiency of the generated interaction scheme over baselines.
    Citation
    Zhou, J., Li, Z., Gu, B., Xie, Q., Zhu, J., Zhang, X. and Li, G., 2016, April. CrowdAidRepair: A Crowd-Aided Interactive Data Repairing Method. In Database Systems for Advanced Applications (pp. 51-66). Springer International Publishing.
    Sponsors
    This research is partially supported by Natural Science Foundation of China (Grant No. 61303019, 61402313, 61472263, 61572336), Postdoctoral scientific research funding of Jiangsu Province (No. 1501090B) National 58 batch of postdoctoral funding (No. 2015M581859) and Collaborative Innovation Center of Novel Software Technology and Industrialization, Jiangsu, China.
    Publisher
    Springer Nature
    Journal
    Database Systems for Advanced Applications
    ISBN
    978-3-319-32024-3
    DOI
    10.1007/978-3-319-32025-0_4
    Additional Links
    http://link.springer.com/chapter/10.1007%2F978-3-319-32025-0_4
    ae974a485f413a2113503eed53cd6c53
    10.1007/978-3-319-32025-0_4
    Scopus Count
    Collections
    Computer Science Program; Book Chapters; Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division

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