Data Mining as Selective Theory Extraction in Probabilistic Logic

Jaeger, Manfred; Mannila, Heikki; Weydert, Emil

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Data Mining as Selective Theory Extraction in Probabilistic Logic

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.

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Item Permalink: https://hdl.handle.net/11858/00-001M-0000-0014-ABCD-0 Version Permalink: https://hdl.handle.net/11858/00-001M-0000-0014-ABCE-E

Genre: Conference Paper

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Creators:
Jaeger, Manfred¹, Author
Mannila, Heikki², Author
Weydert, Emil¹, Author

Affiliations:
1Programming Logics, MPI for Informatics, Max Planck Society, ou_40045
2Algorithms and Complexity, MPI for Informatics, Max Planck Society, ou_24019

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Language(s): eng - English

Dates: Modified: 2010-03-12Date issued: 1996

Publication Status: Issued

Pages: -

Publishing info: Montreal, Canada : Department of Computer Science, University of British Columbia

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Rev. Type: -

Identifiers: eDoc: 519466
Other: Local-ID: C1256104005ECAFC-0EB99476A875C75FC125647F006CE809-JMW96

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Title: Untitled Event

Place of Event: Montreal, Canada

Start-/End Date: 1996

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Title: Proceedings of the 1996 SIGMOD Workshop on Research Issues in Data Mining and Knowledge Discovery

Source Genre: Proceedings

Creator(s):
Ng, Raymond, Editor

Affiliations:
-

Publ. Info: Montreal, Canada : Department of Computer Science, University of British Columbia

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Title: Technical Report 96-08

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