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  MIST: Top-k Approximate Sub-String Mining using Triplet Statistical Significance

Dutta, S. (2015). MIST: Top-k Approximate Sub-String Mining using Triplet Statistical Significance. In A. Hanbury, G. Kazai, A. Rauber, & N. Fuhr (Eds.), Advances in Information Retrieval (pp. 284-290). Berlin: Springer. doi:10.1007/978-3-319-16354-3_31.

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Item Permalink: https://hdl.handle.net/11858/00-001M-0000-0024-54B2-5 Version Permalink: https://hdl.handle.net/11858/00-001M-0000-0029-2176-9
Genre: Conference Paper
Latex : {MIST}: Top-k Approximate Sub-String Mining using Triplet Statistical Significance

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 Creators:
Dutta, Sourav1, Author           
Affiliations:
1Databases and Information Systems, MPI for Informatics, Max Planck Society, ou_24018              

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Language(s): eng - English
 Dates: 201420152015
 Publication Status: Issued
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: BibTex Citekey: SouECIR2015
DOI: 10.1007/978-3-319-16354-3_31
 Degree: -

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Title: 37th European Conference on Information Retrieval
Place of Event: Vienna, Austria
Start-/End Date: 2015-03-29 - 2015-04-02

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Title: Advances in Information Retrieval
  Abbreviation : ECIR 2015
  Subtitle : 37th European Conference on IR Research, ECIR 2015 ; Vienna, Austria, March 29 - April 2, 2015 ;Proceedings
Source Genre: Proceedings
 Creator(s):
Hanbury, Allan1, Editor
Kazai, Gabriella1, Editor
Rauber, Andreas1, Editor
Fuhr, Norbert1, Editor
Affiliations:
1 External Organizations, ou_persistent22            
Publ. Info: Berlin : Springer
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 284 - 290 Identifier: ISBN: 978-3-319-16353-6

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Title: Lecture Notes in Computer Science
  Abbreviation : LNCS
Source Genre: Series
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Affiliations:
Publ. Info: -
Pages: - Volume / Issue: 9022 Sequence Number: - Start / End Page: - Identifier: -