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Knowledge Discovery in Life Science Literature [electronic resource] : PAKDD 2006 International Workshop, KDLL 2006, Singapore, April 9, 2006. Proceedings / edited by Eric G. Bremer, Jörg Hakenberg, Eui-Hong (Sam) Han, Daniel Berrar, Werner Dubitzky.

Contributor(s): Series: Lecture Notes in Computer Science ; 3886Publisher: Berlin, Heidelberg : Springer Berlin Heidelberg, 2006Description: XIV, 147 p. online resourceContent type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9783540328100
Subject(s): Genre/Form: Additional physical formats: Printed edition:: No titleDDC classification:
  • 005.74 23
LOC classification:
  • QA76.9.D3
Online resources:
Contents:
Alignment of Biomedical Ontologies Using Life Science Literature -- Improving Literature Preselection by Searching for Images -- Headwords and Suffixes in Biomedical Names -- A Tree Kernel-Based Method for Protein-Protein Interaction Mining from Biomedical Literature -- Recognizing Biomedical Named Entities Using SVMs: Improving Recognition Performance with a Minimal Set of Features -- Investigation of the Changes of Temporal Topic Profiles in Biomedical Literature -- Extracting Protein-Protein Interactions in Biomedical Literature Using an Existing Syntactic Parser -- Extracting Named Entities Using Support Vector Machines -- Extracting Initial and Reliable Negative Documents to Enhance Classification Performance -- Detecting Invalid Dictionary Entries for Biomedical Text Mining -- Automated Identification of Protein Classification and Detection of Annotation Errors in Protein Databases Using Statistical Approaches -- GetItFull – A Tool for Downloading and Pre-processing Full-Text Journal Articles.
In: Springer eBooks
Item type: eBooks
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Alignment of Biomedical Ontologies Using Life Science Literature -- Improving Literature Preselection by Searching for Images -- Headwords and Suffixes in Biomedical Names -- A Tree Kernel-Based Method for Protein-Protein Interaction Mining from Biomedical Literature -- Recognizing Biomedical Named Entities Using SVMs: Improving Recognition Performance with a Minimal Set of Features -- Investigation of the Changes of Temporal Topic Profiles in Biomedical Literature -- Extracting Protein-Protein Interactions in Biomedical Literature Using an Existing Syntactic Parser -- Extracting Named Entities Using Support Vector Machines -- Extracting Initial and Reliable Negative Documents to Enhance Classification Performance -- Detecting Invalid Dictionary Entries for Biomedical Text Mining -- Automated Identification of Protein Classification and Detection of Annotation Errors in Protein Databases Using Statistical Approaches -- GetItFull – A Tool for Downloading and Pre-processing Full-Text Journal Articles.

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