Big Data Analytics

This volume comprises the select proceedings of the annual convention of the Computer Society of India. Divided into 10 topical volumes, the proceedings present papers on state-of-the-art research, surveys, and succinct reviews. The volumes cover diverse topics ranging from communications networks to big data analytics, and from system architecture to cyber security. This volume focuses on Big Data Analytics. The contents of this book will be useful to researchers and students alike.

, India. She is actively involved in research in the field of Knowledge Discovery and Data Mining (KDD). Her broad area of interest is Intelligent Data Analysis. She is particularly interested in developing process models for Knowledge Discovery in Databases and data mining algorithms. Her further interests include problems pertaining to modelling of changes in discovered knowledge in evolving (streaming) data sets, handling user subjectivity in KDD, projected clustering, outlier detection, classification and cluster ensembles. She is currently studying graphs as tool for modelling biology problems and texts.