EAI International Conference on Big Data Innovation for Sustainable Cognitive Computing

Chapter 1. Data Security In The Cloud Via Artificial Intelligence With Vector Quantization For Image Compression.- Chapter 2. Hybrid Ant-Fuzzy Approach For Data Clustering (Afc) In Distributed.- Chapter 3. S-Transform Based Efficient Copy-Move Forgery Detection Technique In Digital Images.- Chapter 4. Neuro Fuzzy Ant Bee Colony Based Feature Selection For Cancer Classification.- Chapter 5. Entity Resolution For Maintaining Electronic Medical Record Using Oyster.- Chapter 6. Lifetime Improvement Of Wireless Sensor Networks Using Tree Based Routing Protocol.- Chapter 7. An Energy-Efficient Distributed Unequal Clustering Approach For Lifetime Maximization In Wireless Sensor Network.- Chapter 8. An Effective Big-Data And Blockchain [Bd-Bc] Based Decision Support Model For Sustainable Agriculture System.- Chapter 9. An Sdn Based Strategy For Reliable Data Transmission In Mobile Wireless Sensor Networks.- Chapter 10. Different Aspects Of 5G Wireless Network - An Overview.- Chapter 11. Intelligent Systems For Volumetric Feature Recognition From Cad Mesh Models.- Chapter 12. Factors Affecting A Mobile Learning System: A Case Study.- Chapter 13. Document Similarity Approach Using Grammatical Linkages With Graph Databases.- Chapter 14. Missing Data Handling By Mean Imputation And Statistical Analysis.- Chapter 15. Task Identification System For Elderly Paralysed Patients Using Electrooculography And Neural Networks.- Chapter 16. Software Defined Networking (Sdn) Architecture For Smart Trashcan Using Iot.- Chapter 17. Modified K- Nearest Neighbour Fuzzy Classifier Using Group Prototypes And Its Application To Skin Segmentation.- Chapter 18. Enhancing Cooperative Spectrum Sensing In Flying Cell Towers For Disaster Management Using Convolutional Neural Networks.- Chapter 19. Emoticons And Their Effects On Sentiment Analysis Of Twitter Data.- Chapter 20. Prediction Of Customer Churn Using Machine Learning.- Chapter 21. Prediction Of Crop Yield Using Fuzzy-Neural System.- Chapter

Dr. Anandakumar Haldorai, Professor (Associate) and Research Head in Department of Computer Science and Engineering, Sri Eshwar College of Engineering, Coimbatore, Tamilnadu, India. He has received his Master's in Software Engineering from PSG College of Technology, Coimbatore and PhD in Information and Communication Engineering from PSG College of Technology under, Anna University, Chennai. His research areas include Big Data, Cognitive Radio Networks, Mobile Communications and Networking Protocols. He has authored more than 82 research papers in reputed International Journals and IEEE conferences. He has authored 7 books and many book chapters with reputed publishers such as Springer and IGI. He is editor of Inderscience IJISC and served as a reviewer for IEEE, IET, Springer, Inderscience and Elsevier journals. He is also the guest editor of many journals with Elsevier, Springer, Inderscience, etc. He has been the General Chair, Session Chair, and Panelist in several conferences. He is senior member of IEEE, IET, ACM and EAI research group.

Dr. Arulmurugan Ramu is a Professor, Department of Computer Science and Engineering, Presidency University, Bangalore, India. His research focuses on the automatic interpretation of images and related problems in machine learning and optimization. Arulmurugan's main research interest is in vision, particularly high-level visual recognition. In computer vision, Arulmurugan's interests include image and video classification, understanding and retrieval. Some of the most recent work in his lab relates to fundamental technological problems related to large-scale data, machine learning and artificial intelligence. He is author of more than 25 papers in major computer vision and machine learning conferences and journals. From 2011 to 2015 he was researcher fellow at the Anna University. He is the recipient of the PhD degrees in Information and Communication Engineering from the Anna University at Chennai in