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  Interesting-phrase Mining for Ad-hoc Text Analytics

Bedathur, S., Berberich, K., Dittrich, J., Mamoulis, N., & Weikum, G. (2010). Interesting-phrase Mining for Ad-hoc Text Analytics. In Proceedings of the 36th International Conference on Very Large Data Bases (pp. 1348-1357). New York, NY: ACM. Retrieved from http://portal.acm.org/citation.cfm?id=1920841.1921007.

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Item Permalink: https://hdl.handle.net/11858/00-001M-0000-000F-1503-C Version Permalink: https://hdl.handle.net/11858/00-001M-0000-0024-41DA-4
Genre: Conference Paper

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 Creators:
Bedathur, Srikanta1, Author           
Berberich, Klaus1, Author           
Dittrich, Jens1, Author           
Mamoulis, Nikos1, Author           
Weikum, Gerhard1, Author           
Affiliations:
1Databases and Information Systems, MPI for Informatics, Max Planck Society, ou_24018              

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Language(s): eng - English
 Dates: 20102010
 Publication Status: Issued
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: eDoc: 536363
URI: http://portal.acm.org/citation.cfm?id=1920841.1921007
Other: Local-ID: C1256DBF005F876D-48A6B3437F5C5308C1257700002609C9-Berberich2010bz
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Title: 36th International Conference on Very Large Data Bases
Place of Event: Singapore
Start-/End Date: 2010-04-09 - 2010-04-09

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Title: Proceedings of the 36th International Conference on Very Large Data Bases
Source Genre: Proceedings
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Publ. Info: New York, NY : ACM
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 1348 - 1357 Identifier: -

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Title: Proceedings of the VLDB Endowment
Source Genre: Series
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Publ. Info: -
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: - Identifier: -