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» A Rule Format for Associativity
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ICSOC
2004
Springer
13 years 10 months ago
Associating assertions with business processes and monitoring their execution
Business processes that span organizational borders describe the interaction between multiple parties working towards a common objective. They also express business rules that gov...
Alexander Lazovik, Marco Aiello, Mike P. Papazoglo...
KDD
2009
ACM
211views Data Mining» more  KDD 2009»
14 years 6 months ago
Address standardization with latent semantic association
Address standardization is a very challenging task in data cleansing. To provide better customer relationship management and business intelligence for customer-oriented cooperates...
Honglei Guo, Huijia Zhu, Zhili Guo, Xiaoxun Zhang,...
ICCSA
2004
Springer
13 years 10 months ago
Exception Rules Mining Based on Negative Association Rules
Exception rules have been previously defined as rules with low interest and high confidence. In this paper a new approach to mine exception rules will be proposed and evaluated. In...
Olena Daly, David Taniar
RSFDGRC
2005
Springer
110views Data Mining» more  RSFDGRC 2005»
13 years 11 months ago
A Rough Set Based Model to Rank the Importance of Association Rules
Abstract. Association rule algorithms often generate an excessive number of rules, many of which are not significant. It is difficult to determine which rules are more useful, int...
Jiye Li, Nick Cercone
LICS
1998
IEEE
13 years 9 months ago
A Congruence Theorem for Structured Operational Semantics of Higher-Order Languages
In this paper we describe the promoted tyft tyxt rule format for de ning higher-order languages. The rule format is a generalization of Groote and Vaandrager's tyft tyxt form...
Karen L. Bernstein