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» Mining Very Large Databases
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DEXAW
2003
IEEE
164views Database» more  DEXAW 2003»
14 years 3 months ago
Towards an Open Service Architecture for Data Mining on the Grid
Across a wide variety of fields, huge datasets are being collected and accumulated at a dramatical pace. The datasets addressed by individual applications are very often heteroge...
Peter Brezany, Jürgen Hofer, Alexander Wö...
DAWAK
1999
Springer
14 years 2 months ago
Modeling KDD Processes within the Inductive Database Framework
One of the most challenging problems in data manipulation in the future is to be able to e ciently handle very large databases but also multiple induced properties or generalizatio...
Jean-François Boulicaut, Mika Klemettinen, ...
ICCBR
2003
Springer
14 years 3 months ago
Case Mining from Large Databases
Abstract. This paper presents an approach of case mining to automatically discover case bases from large datasets in order to improve both the speed and the quality of case based r...
Qiang Yang, Hong Cheng
BTW
2009
Springer
240views Database» more  BTW 2009»
13 years 11 months ago
Efficient Adaptive Retrieval and Mining in Large Multimedia Databases
Abstract: Multimedia databases are increasingly common in science, business, entertainment and many other applications. Their size and high dimensionality of features are major cha...
Ira Assent
KDD
2002
ACM
171views Data Mining» more  KDD 2002»
14 years 10 months ago
Mining complex models from arbitrarily large databases in constant time
In this paper we propose a scaling-up method that is applicable to essentially any induction algorithm based on discrete search. The result of applying the method to an algorithm ...
Geoff Hulten, Pedro Domingos