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  Top-k Interesting Phrase Mining in Ad-hoc Collections using Sequence Pattern Indexing

Gao, C., & Michel, S. (2012). Top-k Interesting Phrase Mining in Ad-hoc Collections using Sequence Pattern Indexing. In E. A. Rundensteiner, V. Markl, I. Manolescu, S. Amer-Yahia, F. Naumann, & I. Ari (Eds.), Advances in Database Technology - EDBT 2012 (pp. 264-275). New York, NY: ACM.

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Genre: Conference Paper
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 Creators:
Gao, Chuancong1, Author
Michel, Sebastian2, Author           
Affiliations:
1External Organizations, ou_persistent22              
2Databases and Information Systems, MPI for Informatics, Max Planck Society, ou_24018              

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Language(s): eng - English
 Dates: 2012
 Publication Status: Issued
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: eDoc: 647459
DOI: 10.1145/2247596.2247628
URI: http://doi.acm.org/10.1145/2247596.2247628
Other: Local-ID: C1256DBF005F876D-6110B86888907C1BC1257981002853F6-GaoM2012
BibTex Citekey: GaoM2012
 Degree: -

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Title: 15th International Conference on Extending Database Technology
Place of Event: Berlin, Germany
Start-/End Date: 2012-03-26 - 2012-03-30

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Title: Advances in Database Technology - EDBT 2012
  Abbreviation : EDBT 2012
  Latex : Advances in Database Technology -- {EDBT} 2012
Source Genre: Proceedings
 Creator(s):
Rundensteiner, Elke A.1, Editor
Markl, Volker1, Editor
Manolescu, Ioana1, Editor
Amer-Yahia, Sihem1, Editor
Naumann, Felix1, Editor
Ari, Ismail1, Editor
Affiliations:
1 External Organizations, ou_persistent22            
Publ. Info: New York, NY : ACM
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 264 - 275 Identifier: ISBN: 978-1-4503-0790-1