SADM 2008
SADM 2008 | |
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First International Workshop on Semantic Aspects in Data Mining
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Dates | Dec 15, 2008 (iCal) - Dec 19, 2008 |
Homepage: | www-kdd.isti.cnr.it/SADM/index.html |
Location | |
Location: | Pisa, Italy |
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Important dates | |
Submissions: | Aug 1, 2008 |
Notification: | Sep 15, 2008 |
Table of Contents | |
First International Workshop on Semantic Aspects in Data Mining (SADM'08) In conjunction with the 2008 IEEE International Conference on Data Mining (ICDM 2008) December 15 - 19, 2008 http://www-kdd.isti.cnr.it/SADM/ The objective of SADM is to introduce standardized formal methods which can explicitly consider data semantics, background knowledge, or reasoning in the mining process. This knowledge has to be represented/formalized in a knowledge repository, such as ontologies,conceptual schemas, knowledge bases, etc. The main aspect is that this knowledge has to be explicitly incorporated into the KDD process, where the algorithms for data preprocessing,data mining or post-processing make use of this knowledge to improve the KDD process. The key idea is to develop a more general understanding about how to exploit data semantics and background knowledge, and to create standardized procedures for designing more intelligent data mining methods. We believe that such an effort can lead to the development of the science of semantic data mining. Important Dates: * Submission Deadline: 1 August 2008 * Notification acceptance: 15 September 2008 * Camera-ready: 7 October 2008 * Workshop day: 15 or 19 december 2008
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Facts about "SADM 2008"
Acronym | SADM 2008 + |
End date | December 19, 2008 + |
Event type | Workshop + |
Has coordinates | 43° 42' 57", 10° 24' 7"Latitude: 43.715938888889 Longitude: 10.401861111111 + |
Has location city | Pisa + |
Has location country | Category:Italy + |
Homepage | http://www-kdd.isti.cnr.it/SADM/index.html + |
IsA | Event + |
Notification | September 15, 2008 + |
Start date | December 15, 2008 + |
Submission deadline | August 1, 2008 + |
Title | First International Workshop on Semantic Aspects in Data Mining + |