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CAISE
2003
Springer
15 years 2 months ago
A Bi-Temporal Data Warehouse Model
In data warehouses measures are analyzed along different dimensions. Although the structures of these dimensions change over time, data warehouse tools currently in use are not ab...
Christian Koncilia
ENC
2004
IEEE
15 years 1 months ago
Efficient Data Structures and Parallel Algorithms for Association Rules Discovery
Discovering patterns or frequent episodes in transactions is an important problem in data-mining for the purpose of infering deductive rules from them. Because of the huge size of...
Christophe Cérin, Gay Gay, Gaël Le Mah...
IJAR
2010
152views more  IJAR 2010»
14 years 8 months ago
Structural-EM for learning PDG models from incomplete data
Probabilistic Decision Graphs (PDGs) are a class of graphical models that can naturally encode some context specific independencies that cannot always be efficiently captured by...
Jens D. Nielsen, Rafael Rumí, Antonio Salme...
CAV
2004
Springer
93views Hardware» more  CAV 2004»
15 years 3 months ago
Symbolic Parametric Safety Analysis of Linear Hybrid Systems with BDD-Like Data-Structures
—We introduce a new BDD-like data structure called Hybrid-Restriction Diagrams (HRDs) for the representation and manipulation of linear hybrid automata (LHA) state-spaces and pre...
Farn Wang
ENTCS
2007
156views more  ENTCS 2007»
14 years 9 months ago
Bounded Model Checking with Parametric Data Structures
Bounded Model Checking (BMC) is a successful refutation method to detect errors in not only circuits and other binary systems but also in systems with more complex domains like ti...
Erika Ábrahám, Marc Herbstritt, Bern...