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  Siren: An Interactive Tool for Mining and Visualizing Geospatial Redescriptions

Galbrun, E., & Miettinen, P. (2012). Siren: An Interactive Tool for Mining and Visualizing Geospatial Redescriptions. In KDD'12 (pp. 1544-1547). New York, NY: ACM.

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KDD '12 2012 Galbrun.pdf (Any fulltext), 2MB
 
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 Creators:
Galbrun, Esther1, Author           
Miettinen, Pauli1, Author           
Affiliations:
1Databases and Information Systems, MPI for Informatics, Max Planck Society, ou_24018              

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 Abstract: We present SIREN, an interactive tool for mining and visualizing geospatial redescriptions. Redescription mining is a powerful data analysis tool that aims at finding alternative descriptions of the same entities. For example, in biology, an important task is to identify the bioclimatic constraints that allow some species to survive, that is, to describe geographical regions in terms of both the fauna that inhabits them and their bioclimatic conditions. Using SIREN, users can explore geospatial data of their interest by visualizing the redescriptions on a map, interactively edit, extend and filter them. To demonstrate the use of the tool, we focus on climatic niche-finding over Europe, as an example task. Yet, SIREN is by no means limited to a particular dataset or application.

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Language(s): eng - English
 Dates: 2012
 Publication Status: Issued
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: eDoc: 647492
DOI: 10.1145/2339530.2339776
Other: Local-ID: C1256DBF005F876D-D8C1FE9633C1FEEAC1257AF3003C19CA-galbrun12siren
BibTex Citekey: galbrun12siren
 Degree: -

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Title: 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining
Place of Event: Beijing, China
Start-/End Date: 2012-08-12 - 2012-08-16

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Title: KDD'12
  Subtitle : The 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining
  Abbreviation : KDD 2012
Source Genre: Proceedings
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Publ. Info: New York, NY : ACM
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 1544 - 1547 Identifier: ISBN: 978-1-4503-1462-6