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SOFSEM
2001
Springer
15 years 9 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
15 years 11 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
AI
2011
Springer
15 years 4 days 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...
TARK
2007
Springer
15 years 11 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 5 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