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For determination of the relationships among significant gene markers, statistical analysis and association rule mining are considered as very useful protocols. The first protocol identifies the significant differentially expressed/methylated gene markers, whereas the second one produces the interesting relationships among them across different types of samples or conditions. In this article, statistical...
Most of the algorithms designed for categorical data clustering optimize a single measure of the clustering goodness. Such a single measure may not be appropriate for different kinds of data sets. Therefore, consideration of multiple, often conflicting, objectives appears to be natural for this problem. In this article a multiobjective genetic algorithm based approach for fuzzy clustering of categorical...
The study of architectures for natural language and speech applications has been necessitated by the large scale proliferation of such applications into desktop and embedded computers. This paper proposes NLPBench a benchmark for analyzing statistical natural language applications. This study validates the need for such a benchmark by demonstrating the lack of such applications in the currently existing...
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