Mohammad S. Aziz

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Significant research efforts for robust integration of information from multiple sources are being pursued at a rapid pace. However, the information in heterogeneous sources is often incomplete and hence making the maximum use of all the available information is a challenging problem. Most of the recent research on data integration have been primarily(More)
While analyzing some of the complex real-world datasets, it is vital to identify local correlations in the subspaces. Some of the critical limitations of the subspace clustering techniques in identifying order revealing subspace correlation patterns motivate the need for more advanced subspace techniques. We formalize the problem of identifying local(More)
The functional classification of genes plays a vital role in molecular biology. Detecting previously unknown role of genes and their products in physiological and pathological processes is an important and challenging problem. In this work, information from several biological sources such as comparative genome sequences, gene expression and protein(More)
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