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Supplied by high-throughput tools and technologies, a wealth of data is being collected in many sectors of our society, from scientific research to business to IT services. Such "Big Data" holds the promise of supporting ground-breaking discoveries and critical decision-making by fusing information from a myriad of sources. This book represents an attempt of unleashing this promise by modeling and mining these dynamic, heterogeneous, and interdependent information sources, with applications including protecting information privacy and ownership, assessing cyber-security threats and risks,…mehr

Produktbeschreibung
Supplied by high-throughput tools and technologies, a wealth of data is being collected in many sectors of our society, from scientific research to business to IT services. Such "Big Data" holds the promise of supporting ground-breaking discoveries and critical decision-making by fusing information from a myriad of sources. This book represents an attempt of unleashing this promise by modeling and mining these dynamic, heterogeneous, and interdependent information sources, with applications including protecting information privacy and ownership, assessing cyber-security threats and risks, understanding collective dynamics of complex systems, and more. Towards this end, concrete studies are presented on how to develop new concepts and principles, how to design intelligent algorithms, and how to build scalable systems.
Autorenporträt
Ting Wang, Process Engineer at KBR Inc, Houston. Studied Process Integration and Optimization and gained M.S. of Chemical Engineering at Texas A&M University, M.S. of Chemical Engineering at National University of Singapore, and B.S. of Biochemical Engineering at East China University of Science and Technology