Mosab Hassaan

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Sequence mining is one of the fundamental data mining tasks. In this paper we present a novel approach called PRISM, for mining frequent sequences. PRISM utilizes a vertical approach for enumeration and support counting, based on the novel notion of prime block encoding, which in turn is based on prime factorization theory. Via an extensive evaluation on(More)
In most cases authors are permitted to post their version of the article (e.g. in Word or Tex form) to their personal website or institutional repository. Authors requiring further information regarding Elsevier's archiving and manuscript policies are encouraged to visit: a r t i c l e i n f o a b s t r a c t Sequence mining is one of the fundamental data(More)
Subgraph search in graph datasets is an important problem with numerous applications. Many feature-based indexing methods have been proposed for solving this problem. These methods have to index too many features or select some of them in order to get an index with good pruning capabilities. None of these directions can give an effective solution to all(More)
Graphs are widely used to model complicated data semantics in many applications. In our paper [8], we proposed Fast-ON, an efficient algorithm for subgraph isomorphism problem. In this paper, we develop an efficient algorithm called Fast-ON* that extends Fast-ON to handle two other problems, namely, graph isomorphism problem and graph query processing. Our(More)
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