WebPut : Efficient web-based data imputation

Li, Zhixu, Sharaf, Mohamed A., Sitbon, Laurianne, Sadiq, Shazia, Indulska, Marta, & Zhou, Xiaofang (2012) WebPut : Efficient web-based data imputation. In Wang, Sean X., Cruz, Isabel, Delis, Alex, & Huang, Guangyan (Eds.) 13th International Conference on Web Information Systems Engineering - WISE 2012, Springer Berlin Heidelberg, Paphos, Cyprus, pp. 243-256.

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Abstract

In this paper, we present WebPut, a prototype system that adopts a novel web-based approach to the data imputation problem. Towards this, Webput utilizes the available information in an incomplete database in conjunction with the data consistency principle. Moreover, WebPut extends effective Information Extraction (IE) methods for the purpose of formulating web search queries that are capable of effectively retrieving missing values with high accuracy. WebPut employs a confidence-based scheme that efficiently leverages our suite of data imputation queries to automatically select the most effective imputation query for each missing value. A greedy iterative algorithm is also proposed to schedule the imputation order of the different missing values in a database, and in turn the issuing of their corresponding imputation queries, for improving the accuracy and efficiency of WebPut. Experiments based on several real-world data collections demonstrate that WebPut outperforms existing approaches.

Impact and interest:

7 citations in Scopus
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ID Code: 56384
Item Type: Conference Paper
Refereed: Yes
Keywords: Web-based Data Imputation, WebPut, Incomplete Data, Data quality
DOI: 10.1007/978-3-642-35063-4_18
ISBN: 9783642350627
Subjects: Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000)
Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > ARTIFICIAL INTELLIGENCE AND IMAGE PROCESSING (080100) > Natural Language Processing (080107)
Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > INFORMATION SYSTEMS (080600) > Database Management (080604)
Divisions: Current > QUT Faculties and Divisions > Science & Engineering Faculty
Copyright Owner: Copyright 2012 Springer-Verlag Berlin Heidelberg
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Deposited On: 11 Jan 2013 02:06
Last Modified: 01 Jul 2017 04:50

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