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» Discovering Case Knowledge Using Data Mining
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PAKDD
2000
ACM
128views Data Mining» more  PAKDD 2000»
14 years 21 days ago
Efficient Detection of Local Interactions in the Cascade Model
Detection of interactions among data items constitutes an essential part of knowledge discovery. The cascade model is a rule induction methodology using levelwise expansion of a la...
Takashi Okada
TSMC
2011
228views more  TSMC 2011»
13 years 4 months ago
Privacy-Preserving Outlier Detection Through Random Nonlinear Data Distortion
— Consider a scenario in which the data owner has some private/sensitive data and wants a data miner to access it for studying important patterns without revealing the sensitive ...
Kanishka Bhaduri, Mark D. Stefanski, Ashok N. Sriv...
HICSS
2007
IEEE
122views Biometrics» more  HICSS 2007»
14 years 3 months ago
Enterprise Information Architecture (EIA): Assessment of Current Practices in Malaysian Organizations
In this paper we described the findings based on a research study on current Enterprise Information Architecture (EIA) practices in Malaysian organizations. Ten organizations from...
Rafidah Abd. Razak, Zulkhairi Md. Dahalin, Rohaya ...
WWW
2005
ACM
14 years 9 months ago
Sampling search-engine results
We consider the problem of efficiently sampling Web search engine query results. In turn, using a small random sample instead of the full set of results leads to efficient approxi...
Aris Anagnostopoulos, Andrei Z. Broder, David Carm...
DAWAK
2003
Springer
14 years 2 months ago
Comprehensive Log Compression with Frequent Patterns
In this paper we present a comprehensive log compression (CLC) method that uses frequent patterns and their condensed representations to identify repetitive information from large ...
Kimmo Hätönen, Jean-François Boul...