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Discovery Science: 9th International Conference, DS 2006, Barcelona, Spain, October 7-10, 2006, Proceedings (Lecture Notes in Computer Science) [Paperback]

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Item description for Discovery Science: 9th International Conference, DS 2006, Barcelona, Spain, October 7-10, 2006, Proceedings (Lecture Notes in Computer Science) by Nada Lavrac...

This book constitutes the refereed proceedings of the 9th International Conference on Discovery Science, DS 2006, held in Barcelona, Spain in October 2006, co-located with the 17th International Conference on Algorithmic Learning Theory, ALT 2006.

The 23 revised long papers and the 18 revised regular papers presented together with 5 invited papers were carefully reviewed and selected from 87 submissions. The papers cover all issues in the area of automating scientific discovery or working on tools for supporting the human process of discovery in science. They address theoretical and methodological topics such as intelligent data analysis, knowledge discovery and machine learning, as well as their application to scientific knowledge discovery.





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Item Specifications...


Pages   384
Est. Packaging Dimensions:   Length: 9.1" Width: 6.1" Height: 0.8"
Weight:   1.4 lbs.
Binding  Softcover
Release Date   Nov 13, 2006
Publisher   Springer
ISBN  3540464913  
ISBN13  9783540464914  


Availability  104 units.
Availability accurate as of Feb 25, 2017 03:30.
Usually ships within one to two business days from La Vergne, TN.
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More About Nada Lavrac


Register your artisan biography and upload your photo! This book constitutes the refereed proceedings of the 7th European Conference on Principles and Practice of Knowledge Discovery in Databases, PKDD 2003, held in Cavtat-Dubrovnik, Croatia in September 2003 in conjunction with ECML 2003.

The 40 revised full papers presented together with 4 invited contributions were carefully reviewed and, together with another 40 ones for ECML 2003, selected from a total of 332 submissions. The papers address all current issues in data mining and knowledge discovery in databases including data mining tools, association rule mining, classification, clustering, pattern mining, multi-relational classifiers, boosting, kernel methods, learning Bayesian networks, inductive logic programming, user preferences mining, time series analysis, multi-view learning, support vector machine, pattern mining, relational learning, categorization, information extraction, decision making, prediction, and decision trees.

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Product Categories

1Books > Subjects > Computers & Internet > Computer Science > Artificial Intelligence > General
2Books > Subjects > Computers & Internet > Databases > Data Storage & Management > Data Mining
3Books > Subjects > Computers & Internet > Databases > General
4Books > Subjects > Computers & Internet > General
5Books > Subjects > Science > General



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