Includes bibliographical references and index.

Preface -- Acknowledgment -- Big data in operation management / Arushi Jain and Vishal Bhatnagar, Ambedkar Institute of Advanced Communication Technology And Research, Delhi, India -- Application of artificial neural networks in predicting the degradation of tram tracks using maintenance data / Sara Moridpour, RMIT University Melbourne, Australia and Ehsan Mazloumi, Monash University, Melbourne,Australia -- Zamren big data management (zambidm) envisaging efficiency and analytically manage IT resources / Jameson Mbale, Copperbelt University, Zambia -- Predictive analytics in operations management / Harsh Jain, Amrit Pal and Manish Kumar, Indian Institute of Information Technology Allahabad, India -- Pros and cons of applying opinion mining on operation management : a big data perspective / Mahima goyal and Vishal bhatnagar, Ambedkar Institute of Advanced communication technologies and Research, Delhi, India -- A conceptual framework for educational system operation management synchronous with big data approach / Ganeshayya Ishwarayya Shidaganti, M.S.Ramaiah Institute of Technology ,Bengaluru, India and Prakash S, Dayanad Sagar University, Bengaluru, India -- Management of SME's semi structured data using semantic technique / Saravjeet Singh, Chitkara University, Chandigarh, India -- An overview of big data security with hadoop framework / Jaya Singh, Ashish Maruti Gimekar and S Venkatesan, Indian Institute of Information Technology Allahabad, India -- Compilation of references -- About the contributors.

"This book enumerates the challenges and creative solutions and tools to apply when using big data in operations management, outlining revolutionary concepts and applications that help businesses predict customer behavior along with applications of artificial neural networks, predictive analytics, and opinion mining on business management"--