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SOFSEM
2001
Springer
15 years 11 months ago
How Can Computer Science Contribute to Knowledge Discovery?
Knowledge discovery, that is, to analyze a given massive data set and derive or discover some knowledge from it, has been becoming a quite important subject in several fields incl...
Osamu Watanabe
FASE
2007
Springer
16 years 1 months ago
Activity-Driven Synthesis of State Machines
The synthesis of object behaviour from scenarios is a well-known and important issue in the transition from system analysis to system design. We describe a model transformation pro...
Rolf Hennicker, Alexander Knapp
246
Voted
AI
2011
Springer
15 years 2 months ago
State agnostic planning graphs: deterministic, non-deterministic, and probabilistic planning
Planning graphs have been shown to be a rich source of heuristic information for many kinds of planners. In many cases, planners must compute a planning graph for each element of ...
Daniel Bryce, William Cushing, Subbarao Kambhampat...
170
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TARK
2007
Springer
16 years 1 months ago
Inexact knowledge, margin for error and positive introspection
Williamson (2000a) has argued that positive introspection is incompatible with inexact knowledge. His argument relies on a margin-for-error requirement for inexact knowledge based...
Julien Dutant
KDD
2004
ACM
148views Data Mining» more  KDD 2004»
16 years 7 months ago
Interestingness of frequent itemsets using Bayesian networks as background knowledge
The paper presents a method for pruning frequent itemsets based on background knowledge represented by a Bayesian network. The interestingness of an itemset is defined as the abso...
Szymon Jaroszewicz, Dan A. Simovici