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AUSDM
2007
Springer
193views Data Mining» more  AUSDM 2007»
14 years 1 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 10 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 7 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 7 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 11 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