Knowledge Discovery in Life Science Literature - International Workshop, KDLL 2006, Singapore, April 9, 2006, Proceedings

Inhaltsverzeichnis

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.

Produktdetails

• Mitarbeit: Daniel Berrar (Herausgeber), Eric G. Bremer (Herausgeber), Werner Dubitzky (Herausgeber), Jörg Hakenberg (Herausgeber), Eui-Hong Sam Han (Herausgeber)
• Verlag: Springer, Berlin
• Sprache: Englisch
• Produktform: Taschenbuch
• Erschienen: 01.01.2006
• EAN: 9783540328094
• ISBN: 978-3-540-32809-4
• Seiten: 147
• Abmessung: 155 mm x 9 mm x 235 mm
• Gewicht: 254 g
• Illustration: XIV, 147 p.
• Serien: Lecture Notes in Computer Science; Lecture Notes in Bioinformatics
• Themen: Naturwissenschaften, Medizin, Informatik, Technik > Informatik, EDV > Informatik; C, Künstliche Intelligenz, Artificial Intelligence, Wahrscheinlichkeitsrechnung und Statistik, DV-gestützte Biologie/Bioinformatik, Data Warehousing, Informationsrückgewinnung, Information Retrieval, Mathematik für Informatiker, Computeranwendungen in Industrie und Technologie, computer science, Information Retrieval, bioinformatics, Database Management, Health Informatics, Computer science—Mathematics, Maths for computer scientists, Mathematical statistics, Probability and Statistics in Computer Science, Information Storage and Retrieval, Probability and statistics, Computational biology / bioinformatics, Computer applications in industry and technology, Information storage and retrieval systems, Medical informatics