Large scale data analytics This edited book collects state of the art research related to large scale data analytics that has been accomplished over the last few years. This is among the first books devoted to this important area based on contributions from diverse scientific areas such as databases data mining supercomputing hardware architecture data visualization statistics and privacy. There is increasing need for new approaches and technologies that can analyze and synthesize very large amounts of data in the order of petabytes that are generated by massively distributed data sources. This requires new distributed architectures for data analysis. Additionally the heterogeneity of such sources imposes significant challenges for the efficient analysis of the data under numerous constraints including consistent data integration data homogenization and scaling privacy and security preservation. The authors also broaden reader understanding of emerging real world applications in domains such as customer behavior modeling graph mining telecommunications cyber security and social network analysis all of which impose extra requirements for large scale data analysis. Large Scale Data Analytics is organized in 8 chapters each providing a survey of an important direction of large scale data analytics or individual results of the emerging research in the field. The book presents key recent research that will help shape the future of large scale data analytics leading the way to the design of new approaches and technologies that can analyze and synthesize very large amounts of heterogeneous data. Students researchers professionals and practitioners will find this book an authoritative and comprehensive resource