WebPut: Efficient Web-Based Data Imputation
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Marta Indulska | Shazia Wasim Sadiq | Mohamed A. Sharaf | Laurianne Sitbon | Xiaofang Zhou | Zhixu Li | Xiaofang Zhou | Zhixu Li | M. Indulska | Laurianne Sitbon | S. Sadiq | M. Sharaf
[1] Luis Gravano,et al. Extracting Relations from Large Plain-Text Collections , 1999 .
[2] Gustavo E. A. P. A. Batista,et al. An analysis of four missing data treatment methods for supervised learning , 2003, Appl. Artif. Intell..
[3] J. N. K. Rao,et al. Empirical likelihood-based inference under imputation for missing response data , 2002 .
[4] Chian-Huei Wun,et al. Using association rules for completing missing data , 2004, Fourth International Conference on Hybrid Intelligent Systems (HIS'04).
[5] Xiaojie Yuan,et al. Corpus-based Semantic Class Mining: Distributional vs. Pattern-Based Approaches , 2010, COLING.
[6] Jerzy W. Grzymala-Busse,et al. Three Approaches to Missing Attribute Values: A Rough Set Perspective , 2008, Data Mining: Foundations and Practice.
[7] Shichao Zhang,et al. Parimputation: From Imputation and Null-Imputation to Partially Imputation , 2008, IEEE Intell. Informatics Bull..
[8] Sadaaki Miyamoto,et al. Rough Sets and Current Trends in Computing , 2012, Lecture Notes in Computer Science.
[9] Marc Moens,et al. Named Entity Recognition without Gazetteers , 1999, EACL.
[10] Paola Sebastiani,et al. c ○ 2001 Kluwer Academic Publishers. Manufactured in The Netherlands. Robust Learning with Missing Data , 2022 .
[11] D. Rubin,et al. Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper , 1977 .
[12] Jiye Li,et al. Assigning missing attribute values based on rough sets theory , 2006, 2006 IEEE International Conference on Granular Computing.
[13] Jerzy W. Grzymala-Busse,et al. Coping With Missing Attribute Values Based on Closest Fit in Preterm Birth Data: A Rough Set Approach , 2001, Comput. Intell..
[14] Zili Zhang,et al. Missing Value Estimation for Mixed-Attribute Data Sets , 2011, IEEE Transactions on Knowledge and Data Engineering.
[15] D. Rubin,et al. Small-sample degrees of freedom with multiple imputation , 1999 .
[16] Jerzy W. Grzymala-Busse,et al. A Comparison of Several Approaches to Missing Attribute Values in Data Mining , 2000, Rough Sets and Current Trends in Computing.
[17] Laurianne Sitbon,et al. Learning-based relevance feedback for web-based relation completion , 2011, CIKM '11.
[18] J. Ross Quinlan,et al. C4.5: Programs for Machine Learning , 1992 .
[19] 金田 重郎,et al. C4.5: Programs for Machine Learning (書評) , 1995 .
[20] Rahul Gupta,et al. Answering Table Augmentation Queries from Unstructured Lists on the Web , 2009, Proc. VLDB Endow..
[21] Luis Gravano,et al. Snowball: extracting relations from large plain-text collections , 2000, DL '00.
[22] Sergey Brin,et al. Extracting Patterns and Relations from the World Wide Web , 1998, WebDB.
[23] William W. Cohen,et al. Automatic Set Instance Extraction using the Web , 2009, ACL/IJCNLP.
[24] Marti A. Hearst. Automatic Acquisition of Hyponyms from Large Text Corpora , 1992, COLING.
[25] Shichao Zhang,et al. Shell-neighbor method and its application in missing data imputation , 2011, Applied Intelligence.