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Elarbi Choukhmane

dblp:86/4306 · DBLP profile ↗
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2ranked-venue papers
1as first author
0since 2021 · last 1986
—ORCID · none

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

Computer networks · 1 · 1 first-authorDatabases, data management, data science and information retrieval · 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.

Databases, data mining, and information retrieval
1 paper
Database theory · 100%
Theoretical computer science
1 paper
Computational complexity · 100%

Topics — the 2 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Database theory › acyclicity
acyclic database schemes
0.011984
On the Cyclic to Acyclic Scheme Transformation and Solving Cyclic Queries · PODS 1984
Database theory › conjunctive query evaluation
cyclic query processing
0.011984
On the Cyclic to Acyclic Scheme Transformation and Solving Cyclic Queries · PODS 1984
YearPublicationVenuePosition
1986 An approximation algorithm for the maximum independent set problem in cubic planar graphs
abstract
Abstract A polynomial time approximation algorithm A for the problem of finding a maximal independent set for cubic planar graphs is presented. It is shown that MA > 6/7 in the case of cubic planar graphs and MA = 7/8 in the case of triangle free cubic planar graphs where MA is the worst‐case ratio of the size of the independent set found by A to the size of the maximum independent set for the graph input to A.
Elarbi Choukhmane, John Franco
Networks1
1984 On the Cyclic to Acyclic Scheme Transformation and Solving Cyclic Queries
abstract
Relational database schemes can be partitioned into acyclic (tree) schemes and cyclic schemes. This partitioning also classifies the natural join queries into tree queries and cyclic queries. The problems of determining the minimum number of joins needed (i) to transform a cyclic scheme into an acyclic one, and (ii) to solve a cyclic query are shown [GS1 82, GS2 82] to be two different NP-complete problems. We consider a class of database schemes, called simple schemes. We show that the two problems above are equivalent but remain to be NP-complete when they are restricted to simple schemes. We give a polynomial time algorithm for both problems on simple schemes whose qual graphs are chordal. As a by-product, we also show that an edge contraction problem on undirected graphs is NP-complete and it is polynomial when the graph is chordal.
Z. Meral Özsoyoglu, Elarbi Choukhmane
PODS2