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» A Perspective on Databases and Data Mining
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AUSAI
2008
Springer
15 years 6 months ago
Learning to Find Relevant Biological Articles without Negative Training Examples
Classifiers are traditionally learned using sets of positive and negative training examples. However, often a classifier is required, but for training only an incomplete set of pos...
Keith Noto, Milton H. Saier Jr., Charles Elkan
KDD
2007
ACM
184views Data Mining» more  KDD 2007»
16 years 4 months ago
Correlation search in graph databases
Correlation mining has gained great success in many application domains for its ability to capture the underlying dependency between objects. However, the research of correlation ...
Yiping Ke, James Cheng, Wilfred Ng
133
Voted
KDD
1998
ACM
164views Data Mining» more  KDD 1998»
15 years 8 months ago
A Data Mining Support Environment and its Application on Insurance Data
Huge masses of digital data about products, customers and competitors have become available for companies in the services sector. In order to exploit its inherent (and often hidde...
Martin Staudt, Jörg-Uwe Kietz, Ulrich Reimer
DEXAW
2003
IEEE
164views Database» more  DEXAW 2003»
15 years 9 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...
PODS
2003
ACM
151views Database» more  PODS 2003»
16 years 4 months ago
Feasible itemset distributions in data mining: theory and application
Computing frequent itemsets and maximally frequent itemsets in a database are classic problems in data mining. The resource requirements of all extant algorithms for both problems...
Ganesh Ramesh, William Maniatty, Mohammed Javeed Z...