In this paper we present an algorithm to compute DBM substractions with a guaranteed minimal number of splits and disjoint DBMs to avoid any redundance. The substraction is one of the few operations that result in a non-convex zone, and thus, requires splitting. It is of prime importance to reduce the number of generated DBMs in an exploration loop, e.g., for reachability, because the result is propagated and serves to compute further successors later
Multirelational classification aims to discover patterns across multiple interlinked tables (relatio...
Constraint-based rule miners find all rules in a given dataset meeting user-specified constraints su...
Tree patterns form a natural basis to query tree-structured data such as XML and LDAP. Since the eff...
Abstract. In this paper we present an algorithm to compute DBM sub-stractions with a guaranteed mini...
Abstract. In this paper we describe an extension of timed automata with priorities, and efficient al...
Disjunctive deductive databases (DDDBs) capture indefinite information, i.e., imprecise or partial k...
Abstract. In this paper we describe an extension of timed automata with priorities, and efficient al...
Partitioning is an important step in several database algorithms, including sorting, aggregation, an...
Octagons have enduring appeal because their domain opera- tions are simple, readily mapping to for-l...
Minimal unsatisfiability is a topic in the field of satisfiability (SAT). Minimally unsatisfiable su...
In this paper we present different algorithms to reduce the number of DBMs in federations by merging...
This is the author’s version of a work that was accepted for publication in Information Sciences. Ch...
Disjunctive deductive databases (DDDBs) can capture indefinite information, i.e., imprecise or parti...
In order to eliminate redundant information in a database one usually uses decomposition or special ...
This thesis presents an efficient and integrated approach to integrity constraint checking for advan...
Multirelational classification aims to discover patterns across multiple interlinked tables (relatio...
Constraint-based rule miners find all rules in a given dataset meeting user-specified constraints su...
Tree patterns form a natural basis to query tree-structured data such as XML and LDAP. Since the eff...
Abstract. In this paper we present an algorithm to compute DBM sub-stractions with a guaranteed mini...
Abstract. In this paper we describe an extension of timed automata with priorities, and efficient al...
Disjunctive deductive databases (DDDBs) capture indefinite information, i.e., imprecise or partial k...
Abstract. In this paper we describe an extension of timed automata with priorities, and efficient al...
Partitioning is an important step in several database algorithms, including sorting, aggregation, an...
Octagons have enduring appeal because their domain opera- tions are simple, readily mapping to for-l...
Minimal unsatisfiability is a topic in the field of satisfiability (SAT). Minimally unsatisfiable su...
In this paper we present different algorithms to reduce the number of DBMs in federations by merging...
This is the author’s version of a work that was accepted for publication in Information Sciences. Ch...
Disjunctive deductive databases (DDDBs) can capture indefinite information, i.e., imprecise or parti...
In order to eliminate redundant information in a database one usually uses decomposition or special ...
This thesis presents an efficient and integrated approach to integrity constraint checking for advan...
Multirelational classification aims to discover patterns across multiple interlinked tables (relatio...
Constraint-based rule miners find all rules in a given dataset meeting user-specified constraints su...
Tree patterns form a natural basis to query tree-structured data such as XML and LDAP. Since the eff...