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Conference Paper

Interesting-phrase Mining for Ad-hoc Text Analytics

MPS-Authors
http://pubman.mpdl.mpg.de/cone/persons/resource/persons44104

Bedathur,  Srikanta
Databases and Information Systems, MPI for Informatics, Max Planck Society;

http://pubman.mpdl.mpg.de/cone/persons/resource/persons44119

Berberich,  Klaus
Databases and Information Systems, MPI for Informatics, Max Planck Society;

http://pubman.mpdl.mpg.de/cone/persons/resource/persons44332

Dittrich,  Jens
Databases and Information Systems, MPI for Informatics, Max Planck Society;

http://pubman.mpdl.mpg.de/cone/persons/resource/persons44978

Mamoulis,  Nikos
Databases and Information Systems, MPI for Informatics, Max Planck Society;

http://pubman.mpdl.mpg.de/cone/persons/resource/persons45720

Weikum,  Gerhard
Databases and Information Systems, MPI for Informatics, Max Planck Society;

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Citation

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.


Cite as: http://hdl.handle.net/11858/00-001M-0000-000F-1503-C
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