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Bassem Sayrafi

dblp:49/1 · DBLP profile ↗
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3ranked-venue papers
2as first author
0since 2021 · last 2013
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Databases, data management, data science and information retrieval · 2 · 2 first-authorArtificial intelligence and machine learning · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Theoretical computer science
2 papers
Logic in computer science · 100%
Databases, data mining, and information retrieval
1 paper
Data mining · 75% Database theory · 25%
Artificial intelligence
1 paper
Probabilistic and Bayesian machine learning · 100%

Topics — the 6 heaviest of 7, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Data mining › pattern mining › pattern representation
concise representation
0.112005
Differential constraints · PODS 2005
Database theory
dependency theory
0.112005
Differential constraints · PODS 2005
Data mining › pattern mining › itemset mining
frequent itemset mining
0.112005
Differential constraints · PODS 2005
Data mining
pattern mining
0.112005
Differential constraints · PODS 2005
Logic in computer science
propositional logic
0.112005
Differential constraints · PODS 2005
Machine learning › Probabilistic and Bayesian machine learning › structured models
graphical models
0.012013
On the conditional independence implication problem: A lattice-theoretic approach · Artif. Intell. 2013

Methods — techniques the papers use, named apart from their topics

lattice theory · 0.3conditional independence · 0.3lattice decomposition · 0.1inference rules · 0.1
YearPublicationVenuePosition
2013 On the conditional independence implication problem: A lattice-theoretic approach
Mathias Niepert, Marc Gyssens, Bassem Sayrafi, Dirk Van Gucht
Artif. Intell.3
2008 The implication problem for measure-based constraints
Bassem Sayrafi, Dirk Van Gucht, Marc Gyssens
Inf. Syst.1
2005 Differential constraints
abstract
Differential constraints are a class of finite difference equations specified over functions from the powerset of a finite set into the reals. We characterize the implication problem for such constraints in terms of lattice decompositions, and give a sound and complete set of inference rules. We relate differential constraints to a subclass of propositional logic formulas, allowing us to show that the implication problem is coNP-complete. Furthermore, we apply the theory of differential constraints to the problem of concise representations in the frequent itemset problem by linking differential constraints to disjunctive rules. We also establish a connection to relational databases by associating differential constraints to positive boolean dependencies.
Bassem Sayrafi, Dirk Van Gucht
PODS1