Phrase Mining from Massive Text and Its Applications

Author:   Jialu Liu ,  Jingbo Shang ,  Jiawei Han
Publisher:   Springer International Publishing AG
ISBN:  

9783031007828


Pages:   79
Publication Date:   30 March 2017
Format:   Paperback
Availability:   Manufactured on demand   Availability explained
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Phrase Mining from Massive Text and Its Applications


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Author:   Jialu Liu ,  Jingbo Shang ,  Jiawei Han
Publisher:   Springer International Publishing AG
Imprint:   Springer International Publishing AG
Weight:   0.192kg
ISBN:  

9783031007828


ISBN 10:   3031007824
Pages:   79
Publication Date:   30 March 2017
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.
Language:   English

Table of Contents

Acknowledgments.- Introduction.- Quality Phrase Mining with User Guidance.- Automated Quality Phrase Mining.- Phrase Mining Applications.- Bibliography.- Authors' Biographies .

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Author Information

Jialu Liu, an engineer at Google Research in New York, is working on structured data for knowledge exploration. He received his B.Sc. from Zhejiang University, China, in 2007 and Ph.D. degree in computer science from the University of Illinois at Urbana-Champaign in 2015. His research has been focused on scalable data mining, text mining, and information extraction.Jingbo Shang, is a Ph.D. candidate in the Department of Computer Science at the University of Illinois at Urbana-Champaign. He received a B.Sc. from Shanghai Jiao Tong University, China in 2014. His research focuses on mining and constructing structured knowledge from massive text corpora.Jiawei Han, Abel Bliss Professor, Department of Computer Science, the University of Illinois, has been researching data mining, information network analysis, and database systems, and has been involved in over 700 publications. He served as the founding Editor-in-Chief of ACM Transactions on Knowledge Discovery from Data (TKDD). Jiawei received the ACM SIGKDD Innovation Award (2004), IEEE Computer Society Technical Achievement Award (2005), and IEEE Computer Society W. Wallace McDowell Award (2009). He is a Fellow of ACM and a Fellow of IEEE. His co-authored textbook, Data Mining: Concepts and Techniques (Morgan Kaufmann), has been adopted worldwide.

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