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AUSDM
2007
Springer
193views Data Mining» more  AUSDM 2007»
13 years 12 months ago
Are Zero-suppressed Binary Decision Diagrams Good for Mining Frequent Patterns in High Dimensional Datasets?
Mining frequent patterns such as frequent itemsets is a core operation in many important data mining tasks, such as in association rule mining. Mining frequent itemsets in high-di...
Elsa Loekito, James Bailey
AAAI
2008
13 years 8 months ago
Limits and Possibilities of BDDs in State Space Search
This paper investigates the impact of symbolic search for solving domain-independent action planning problems with binary decision diagrams (BDDs). Polynomial upper and exponential...
Stefan Edelkamp, Peter Kissmann
SCP
1998
134views more  SCP 1998»
13 years 5 months ago
Abstract Interpretation Using Typed Decision Graphs
Interpretation Using Typed Decision Graphs Laurent Mauborgne LIENS, ´Ecole Normale Sup´erieure, 45 rue d’Ulm, 75230 Paris cedex 05, France Abstract. This article presents a way...
Laurent Mauborgne
IJAR
2006
89views more  IJAR 2006»
13 years 5 months ago
Learning probabilistic decision graphs
Probabilistic decision graphs (PDGs) are a representation language for probability distributions based on binary decision diagrams. PDGs can encode (context-specific) independence...
Manfred Jaeger, Jens D. Nielsen, Tomi Silander
RELMICS
2000
Springer
13 years 9 months ago
A Relational View of Subgraph Isomorphism
This paper presents a novel approach to the problem of finding all subgraph isomorphisms of a (pattern) graph into another (target) graph. A relational formulation of the problem, ...
Jordi Cortadella, Gabriel Valiente