Knowledge Exploration in Life Science Informatics: International Symposium KELSI 2004, Milan, Italy, November 25-26, 2004, Proceedings (Lecture Notes in Computer Science, 3303)
ISBN-13:
9783540239277
ISBN-10:
3540239278
Edition:
2004
Author:
Emilio Benfenati, Werner Dubitzky, Jesús A. López
Publication date:
2004
Publisher:
Springer
Format:
Paperback
260 pages
Category:
AI & Machine Learning
,
Databases & Big Data
,
Algorithms
,
Programming
,
Catalogs & Directories
,
Anatomy
,
Biological Sciences
,
Bioinformatics
,
Biology
,
Computer Science
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Book details
ISBN-13:
9783540239277
ISBN-10:
3540239278
Edition:
2004
Author:
Emilio Benfenati, Werner Dubitzky, Jesús A. López
Publication date:
2004
Publisher:
Springer
Format:
Paperback
260 pages
Category:
AI & Machine Learning
,
Databases & Big Data
,
Algorithms
,
Programming
,
Catalogs & Directories
,
Anatomy
,
Biological Sciences
,
Bioinformatics
,
Biology
,
Computer Science
Summary
Knowledge Exploration in Life Science Informatics: International Symposium KELSI 2004, Milan, Italy, November 25-26, 2004, Proceedings (Lecture Notes in Computer Science, 3303) (ISBN-13: 9783540239277 and ISBN-10: 3540239278), written by authors
Emilio Benfenati, Werner Dubitzky, Jesús A. López, was published by Springer in 2004.
With an overall rating of 4.2 stars, it's a notable title among other
AI & Machine Learning
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Description
This volume of the Springer Lecture Notes in Computer Science series contains the contributions presented at the International Symposium on Knowledge Exploration in Life Science Informatics (KELSI 2004) held in Milan, Italy, 25-26 November 2004. The two main objectives of the symposium were: • To explore the symbiosis between information and knowledge technologies and v- ious life science disciplines, such as biochemistry, biology, neuroscience, medical research, social sciences, and so on. • To investigate the synergy among different life science informatics areas, including cheminformatics,bioinformatics,neuroinformatics,medical informatics,systems - ology, socionics, and others. Modern life sciences investigate phenomena and systems at the level of molecules, cells, tissues, organisms, and populations. Typical areas of interest include natural e- lution, development,disease, behavior,cognition,and consciousness.This quest is g- eratinganoverwhelmingandfast-growingamountofdata,information,andknowledge, re?ecting living systems at different levels of organization. Future progress of the life sciences will depend on effective and ef?cient management, sharing, and exploitation of these resources by computational means.
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