English
 
Help Privacy Policy Disclaimer
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT
Add to Basket
  Local TagsRelease HistoryDetailsSummary

Released
Conference Paper

Data Mining as Selective Theory Extraction in Probabilistic Logic

MPS-Authors
/persons/resource/persons44689

Jaeger,  Manfred
Programming Logics, MPI for Informatics, Max Planck Society;

/persons/resource/persons44982

Mannila,  Heikki
Algorithms and Complexity, MPI for Informatics, Max Planck Society;

/persons/resource/persons45737

Weydert,  Emil
Programming Logics, MPI for Informatics, Max Planck Society;

External Resource
No external resources are shared
Fulltext (restricted access)
There are currently no full texts shared for your IP range.
Fulltext (public)
There are no public fulltexts stored in PuRe
Supplementary Material (public)
There is no public supplementary material available
Citation

Jaeger, M., Mannila, H., & Weydert, E. (1996). Data Mining as Selective Theory Extraction in Probabilistic Logic. In R. Ng (Ed.), Proceedings of the 1996 SIGMOD Workshop on Research Issues in Data Mining and Knowledge Discovery. Montreal, Canada: Department of Computer Science, University of British Columbia.


Cite as: https://hdl.handle.net/11858/00-001M-0000-0014-ABCD-0
Abstract
There is no abstract available