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» Extracting Business Rules from Source Code
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ESWA
2006
139views more  ESWA 2006»
14 years 11 months ago
An efficient data mining approach for discovering interesting knowledge from customer transactions
Mining association rules and mining sequential patterns both are to discover customer purchasing behaviors from a transaction database, such that the quality of business decision ...
Show-Jane Yen, Yue-Shi Lee
FOCS
2000
IEEE
15 years 4 months ago
Extracting Randomness from Samplable Distributions
Randomness extractors convert weak sources of randomness into an almost uniform distribution; the conversion uses a small amount of pure randomness. In algorithmic applications, t...
Luca Trevisan, Salil P. Vadhan
TIP
2008
107views more  TIP 2008»
14 years 11 months ago
Sampling-Based Correlation Estimation for Distributed Source Coding Under Rate and Complexity Constraints
In many practical distributed source coding (DSC) applications, correlation information has to be estimated at the encoder in order to determine the encoding rate. Coding efficien...
Ngai-Man Cheung, Huisheng Wang, Antonio Ortega
VLDB
1997
ACM
117views Database» more  VLDB 1997»
15 years 3 months ago
Optimizing Queries Across Diverse Data Sources
Businesses today need to interrelate data stored in diverse systems with differing capabilities, ideally via a single high-level query interface. We present the design of a query ...
Laura M. Haas, Donald Kossmann, Edward L. Wimmers,...
LREC
2010
129views Education» more  LREC 2010»
15 years 1 months ago
Mining Wikipedia for Large-scale Repositories of Context-Sensitive Entailment Rules
This paper focuses on the central role played by lexical information in the task of Recognizing Textual Entailment. In particular, the usefulness of lexical knowledge extracted fr...
Milen Kouylekov, Yashar Mehdad, Matteo Negri