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Knowledge Discovery in Inductive Databases - Third International Workshop, KDID 2004, Pisa, Italy, September 20, 2004, Revised Selected and Invited Papers (Paperback, 2005 ed.)
Loot Price: R1,600
Discovery Miles 16 000
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Knowledge Discovery in Inductive Databases - Third International Workshop, KDID 2004, Pisa, Italy, September 20, 2004, Revised Selected and Invited Papers (Paperback, 2005 ed.)
Series: Lecture Notes in Computer Science, 3377
Expected to ship within 10 - 15 working days
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The3rdInternationalWorkshoponKnowledgeDiscoveryinInductiveDatabases
(KDID 2004) was held in Pisa, Italy, on September 20, 2004 as part
of the 15th European Conference on Machine Learning and the 8th
European Conference
onPrinciplesandPracticeofKnowledgeDiscoveryinDatabases(ECML/PKDD
2004). Ever since the start of the ?eld of data mining, it has been
realized that the knowledge discovery and data mining process
should be integrated into database technology. This idea has been
formalized in the concept of inductive databases, introduced by
Imielinski and Mannila (CACM 1996, 39(11)). In general, an
inductive database is a database that supports data mining and the
knowledge discovery process in a natural and elegant way. In
addition to the usual data, it also contains inductive
generalizations (e.g., patterns, models) extracted from the data.
Within this framework, knowledge discovery is an - teractive
process in which users can query the inductive database to gain
insight to the data and the patterns and models within that data.
Despite many recent developments, there still exists a pressing
need to -
derstandthecentralissuesininductivedatabases.Thisworkshopaimedtobring
together database and data mining researchers and practitioners who
are int- ested in the numerous challenges that inductive databases
o? ers. This workshop followed the previous two workshops: KDID
2002 held in Helsinki, Finland, and KDID 2003 held in
Cavtat-Dubrovnik, Croatia.
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