Handbook of Big Data Analytics: Applications in ICT, security and business analytics

Author:   Vadlamani Ravi (Professor, Institute for Development and Research in Banking Technology, Hyderabad, India) ,  Aswani Kumar Cherukuri (Professor, Vellore Institute of Technology, School of Information Technology and Engineering, Vellore, India)
Publisher:   Institution of Engineering and Technology
ISBN:  

9781839530593


Pages:   420
Publication Date:   03 September 2021
Format:   Hardback
Availability:   In Print   Availability explained
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Handbook of Big Data Analytics: Applications in ICT, security and business analytics


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Author:   Vadlamani Ravi (Professor, Institute for Development and Research in Banking Technology, Hyderabad, India) ,  Aswani Kumar Cherukuri (Professor, Vellore Institute of Technology, School of Information Technology and Engineering, Vellore, India)
Publisher:   Institution of Engineering and Technology
Imprint:   Institution of Engineering and Technology
ISBN:  

9781839530593


ISBN 10:   1839530596
Pages:   420
Publication Date:   03 September 2021
Audience:   College/higher education ,  Professional and scholarly ,  Tertiary & Higher Education ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

Table of Contents

Chapter 1: Big data analytics for security intelligence Chapter 2: Zero attraction data selective adaptive filtering algorithm for big data applications Chapter 3: Secure routing in software defined networking and Internet of Things for big data Chapter 4: Efficient ciphertext-policy attribute-based signcryption for secure big data storage in cloud Chapter 5: Privacy-preserving techniques in big data Chapter 6: Big data and behaviour analytics Chapter 7: Analyzing events for traffic prediction on IoT data streams in a smart city scenario Chapter 8: Gender-based classification on e-commerce big data Chapter 9: On recommender systems with big data Chapter 10: Analytics in e-commerce at scale Chapter 11: Big data regression via parallelized radial basis function neural network in Apache Spark Chapter 12: Visual sentiment analysis of bank customer complaints using parallel self-organizing maps Chapter 13: Wavelet neural network for big data analytics in banking via GPU Chapter 14: Stock market movement prediction using evolving spiking neural networks Chapter 15: Parallel hierarchical clustering of big text corpora Chapter 16: Contract-driven financial reporting: building automated analytics pipelines with algorithmic contracts, Big Data and Distributed Ledger technology Overall conclusions

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Author Information

Vadlamani Ravi is a professor at the Institute for Development and Research in Banking Technology, Hyderabad, where he spearheads the Center of Excellence in Analytics, the first-of-its-kind in India. He has over 32 years of experience in research and teaching. He is on the Editorial Board several international journals. He has published more than 230 papers in international journals, conferences and book chapters. Aswani Kumar Cherukuri is a professor of the School of Information Technology and Engineering at Vellore Institute of Technology, India. He has almost 20 years of academic and research experience. His research interests include machine learning and information security. He has published more than 150 research papers in various journals and conferences, and executed major research projects funded by Govt. of India. He is a senior member of ACM and life member of CSI, ISTE.

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