Bhavna Srivastava

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In Bioinformatics, gene dataset experiments are generating thousands of gene expression measurements, which generally used to collect information from tissue and cell samples regarding gene expression differences. Optimum gene selection from such gene expression datasets and their classification plays an important role for disease prediction &(More)
Clustering is one of the important techniques in Wireless Sensor Networks (WSNs). In this paper introduce Double Cluster Head Model (DCHM) for secure and accurate data fusion in WSNs. Data fusion is used to reduce the traffic load and conserves energy of the sensors. In this clustering technique each cluster has two Cluster Heads (CHs) and they are assuming(More)
Matrix Factorization is one of the popular approaches for learning the latent characteristics from the sparse utility matrix of recommendation systems. In recent times, Coordinate Descent based matrix factorization approach (CCD) have outperformed the other existing approaches such as Alternating Least Squares (ALS) and Stochastic Gradient Descent (SGD).(More)
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