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VLDB
1997
ACM
169views Database» more  VLDB 1997»
15 years 11 months ago
Mining Insurance Data at Swiss Life
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...
Jörg-Uwe Kietz, Ulrich Reimer, Martin Staudt
DMIN
2006
138views Data Mining» more  DMIN 2006»
15 years 8 months ago
Quantification of a Privacy Preserving Data Mining Transformation
Data mining, with its promise to extract valuable, previously unknown and potentially useful patterns or knowledge from large data sets that contain private information is vulnerab...
Mohammed Ketel
AUSAI
2007
Springer
15 years 10 months ago
An Upper Ontology for Event Classifications and Relations
For knowledge representation and reasoning, there is a need to consider the nature of events because event data describe various features and behaviors of the occurrences of action...
Ken Kaneiwa, Michiaki Iwazume, Ken Fukuda
ACSW
2004
15 years 8 months ago
Early Assessment of Classification Performance
The ability to distinguish between objects is the fundamental to learning and intelligent behavior in general. The difference between two things is the information we seek; the pr...
Bostjan Brumen, Izidor Golob, Hannu Jaakkola, Tatj...
IJCAI
1997
15 years 8 months ago
Structural Inferences from Massive Datasets
High-level understanding of data must involve the interplay between substantial prior knowledge with geometric and statistical techniques. Our approach emphasizes the recovery of ...
Kenneth Yip