ANALYSIS
Unsupervised Feature Selection Using Graph Theoretic Approach

Venuprabha VS, Ajithkumar R, Karthikeyan P, Anitha N
Feature selection is an interesting problem in data mining which can avail to reduce computation time, improve prediction performance, and build understandable models. Concretely, feature selection realized in the absence of class labels, named as unsupervised feature selection, is challenging and fascinating.
Discovery, 2016, 52(241), 48-54
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Increasing the Lifetime of Mobile Sink using Virtual Grid in Wireless Sensor Networks with Dynamic Route Adjustment Scheme

Shudapreyaa RS, Ananadamurugan S
The wireless sensor network has emerged as a new information-gathering paradigm in a wide range of applications, such as health care, outer-space exploration, battlefield surveillance, and emergency response.