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dc.contributor.authorLi, Zhixu
dc.contributor.authorShang, Shuo
dc.contributor.authorXie, Qing
dc.contributor.authorZhang, Xiangliang
dc.date.accessioned2015-08-04T07:23:48Z
dc.date.available2015-08-04T07:23:48Z
dc.date.issued2014-04-16
dc.identifier.citationLi, Z., Shang, S., Xie, Q., & Zhang, X. (2014). Cost Reduction for Web-Based Data Imputation. Lecture Notes in Computer Science, 438–452. doi:10.1007/978-3-319-05813-9_29
dc.identifier.isbn9783319058122
dc.identifier.issn03029743
dc.identifier.doi10.1007/978-3-319-05813-9_29
dc.identifier.urihttp://hdl.handle.net/10754/564875
dc.description.abstractWeb-based Data Imputation enables the completion of incomplete data sets by retrieving absent field values from the Web. In particular, complete fields can be used as keywords in imputation queries for absent fields. However, due to the ambiguity of these keywords and the data complexity on the Web, different queries may retrieve different answers to the same absent field value. To decide the most probable right answer to each absent filed value, existing method issues quite a few available imputation queries for each absent value, and then vote on deciding the most probable right answer. As a result, we have to issue a large number of imputation queries for filling all absent values in an incomplete data set, which brings a large overhead. In this paper, we work on reducing the cost of Web-based Data Imputation in two aspects: First, we propose a query execution scheme which can secure the most probable right answer to an absent field value by issuing as few imputation queries as possible. Second, we recognize and prune queries that probably will fail to return any answers a priori. Our extensive experimental evaluation shows that our proposed techniques substantially reduce the cost of Web-based Imputation without hurting its high imputation accuracy. © 2014 Springer International Publishing Switzerland.
dc.publisherSpringer Nature
dc.subjectCost Reduction
dc.subjectImputation Query
dc.subjectWeb-based Data Imputation
dc.titleCost reduction for web-based data imputation
dc.typeConference Paper
dc.contributor.departmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
dc.contributor.departmentComputer Science Program
dc.contributor.departmentMachine Intelligence & kNowledge Engineering Lab
dc.identifier.journalDatabase Systems for Advanced Applications
dc.conference.date21 April 2014 through 24 April 2014
dc.conference.name19th International Conference on Database Systems for Advanced Applications, DASFAA 2014
dc.conference.locationBali
dc.contributor.institutionDepartment of Software Engineering, China University of Petroleum-Beijing, China
kaust.personLi, Zhixu
kaust.personXie, Qing
kaust.personZhang, Xiangliang
dc.date.published-online2014-04-16
dc.date.published-print2014


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