WebPut: Efficient Web-Based Data Imputation-Reference-Cited by-同舟云学术

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WebPut: Efficient Web-Based Data Imputation

Published:2012 Issue: Volume: Page:243-256
ISSN:0302-9743
Container-title:Web Information Systems Engineering - WISE 2012
language:
Short-container-title:

Author:

Li Zhixu,Sharaf Mohamed A.,Sitbon Laurianne,Sadiq Shazia,Indulska Marta,Zhou Xiaofang

Publisher

Springer Berlin Heidelberg

Link

http://link.springer.com/content/pdf/10.1007/978-3-642-35063-4_18

Reference23 articles.

1. Agichtein, E., Gravano, L.: Snowball: Extracting relations from large plain-text collections. In: ACM DL (2000)

2. Barnard, J., Rubin, D.: Small-sample degrees of freedom with multiple imputation. Biometrika 86(4), 948–955 (1999)

3. Batista, G., Monard, M.: An analysis of four missing data treatment methods for supervised learning. Applied Artificial Intelligence 17(5-6), 519–533 (2003)

4. Brin, S.: Extracting patterns and relations from the world wide web. In: The World Wide Web and Databases, pp. 172–183 (1999)

5. Dempster, A., Laird, N., Rubin, D.: Maximum likelihood from incomplete data via the em algorithm. Journal of the Royal Statistical Society. Series B (Methodological), 1–38 (1977)

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1. CoRE: A Context-Aware Relation Extraction Method for Relation Completion;2023 Third International Conference on Advances in Electrical, Computing, Communication and Sustainable Technologies (ICAECT);2023-01-05

2. Cost Reduction for Web-Based Data Imputation;Database Systems for Advanced Applications;2014

3. A web-based approach to data imputation;World Wide Web;2013-10-24

4. Data centric research at the University of Queensland;ACM SIGMOD Record;2013-10-17

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