This article describes how the lack of adequate parametrization in some of the earlier uncertainty based models like fuzzy sets, rough sets motivated Molodtsov to introduce a new model in soft set. A suitable combination of individual models leads to hybrid models, which are more efficient than...

"This book provides basic concepts related to social networks. It emphasizes on anonymization techniques and focuses on a specific attack on privacy of social networks, called the neighborhood attack and provide anonymization algorithms. It also discusses the other important approach for social...

"This book provides an analysis of large data in the field of classification and clustering by presenting algorithms and comparative analysis in the form of their effectiveness and efficiency. It covers topics such as handling large data with conventional data mining, machine learning algorithms...

This book provides the reader with a broad coverage of the concepts, themes and instrumentalities of this important and evolving area of optimization. In doing so, the editors hope to encourage an even wider adoption of metaheuristic methods for assisting in problem solving, and to stimulate...

"This book brings together recent advances and indepth knowledge in the fields of knowledge representation and computational intelligence, highlighting the theoretical advances and their applications to real life problems"--Provided by publisher.

Multi-granular computing through rough sets / B. K. Tripathy -- Pattern recognition and robotics / P. Geethanjali -- Privacy preservation in information system / D. P. Acharjya, Geetha Mary A. -- Predictive analytics and data mining: a framework for optimizing decisions with R Tool / Ritu...