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Knowledge Discovery in Life Science Literature [electronic resource] : 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): Bremer, Eric G [editor.] | Hakenberg, Jörg [editor.] | Han, Eui-Hong Sam [editor.] | Berrar, Daniel [editor.] | Dubitzky, Werner [editor.] | SpringerLink (Online service).
Material type: materialTypeLabelBookSeries: Lecture Notes in Bioinformatics: 3886Publisher: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2006Edition: 1st ed. 2006.Description: XIV, 147 p. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783540328100.Subject(s): Database management | Artificial intelligence | Information storage and retrieval systems | Bioinformatics | Computer science -- Mathematics | Mathematical statistics | Medical informatics | Database Management | Artificial Intelligence | Information Storage and Retrieval | Bioinformatics | Probability and Statistics in Computer Science | Health InformaticsAdditional physical formats: Printed edition:: No title; Printed edition:: No titleDDC classification: 005.74 Online resources: Click here to access online
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 Nature eBook
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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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