Saifuddin Md. Tareeq

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For What? How? In a teaching and learning environment Bayesian network fits well because it can adjust its structure as per data presented to it. When a Bayesian network learns with a huge number of data, its belief value is updated even if the change in belief is not significant. This causes a problem when the user's preference changes over time. The(More)
In this paper, we present an algorithm to search and rank <i>top-k</i> approximately matched subtrees from a tree database, where the query is a collection of trees <i>i.e</i>. a forest. Even though existing algorithms can handle a single tree query, we argue that forest query would be significantly useful in some real life applications including biological(More)
Protein can be represented by amino acid interaction network. This network is a graph whose vertices are the proteins amino acids and whose edges are the interactions between them. This interaction network is the first step of proteins three-dimensional structure prediction. In this paper we present a multi-objective evolutionary algorithm for interaction(More)
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