Knowledge Discovery in Life Science Literature: International Workshop, Kdll 2006, Singapore, April 9, 2006, Proceedings: International Workshop, K by Eric G. BremerKnowledge Discovery in Life Science Literature: International Workshop, Kdll 2006, Singapore, April 9, 2006, Proceedings: International Workshop, K by Eric G. Bremer

Knowledge Discovery in Life Science Literature: International Workshop, Kdll 2006, Singapore, April…

byEric G. BremerEditorJörg Hakenberg, Eui-Hong Sam Han

Paperback | March 23, 2006

Pricing and Purchase Info

$114.32 online 
$136.95 list price save 16%
Earn 572 plum® points

Prices and offers may vary in store

Quantity:

In stock online

Ships free on orders over $25

Not available in stores

about

This book constitutes the refereed proceedings of the International Workshop on Knowledge Discovery in Life Science Literature, KDLL 2006, held in conjunction with the 10th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2006). The 12 revised full papers presented together with two invited talks were carefully reviewed and selected for inclusion in the book. The papers cover all topics of knowledge discovery in life science data.

Title:Knowledge Discovery in Life Science Literature: International Workshop, Kdll 2006, Singapore, April…Format:PaperbackDimensions:147 pages, 23.5 × 15.5 × 0.01 inPublished:March 23, 2006Publisher:Springer-Verlag/Sci-Tech/TradeLanguage:English

The following ISBNs are associated with this title:

ISBN - 10:3540328092

ISBN - 13:9783540328094

Look for similar items by category:

Reviews

Table of 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.