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.

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

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.

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

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.

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