Section 1_Soft Computing based Recommender Systems.- Chapter 1. Context-Similarity Measure Based on Genetic Algorithm for Improved Recommendations.- Chapter 2. Enhanced Multi-Criteria Recommender System based on AHP.- Chapter 3. An Integrated Approach for Book Recommendation using Opinion Mining and Soft Computing.- Chapter 4. Use of Soft Computing techniques for Recommender Systems: An Overview.- Section 2_Soft Computing based Online Documents Summarization.- Chapter 5. Hierarchical News Summarization on Twitter. Section 3_Soft Computing based Web Data Extraction.- Chapter 6. Web Data Extraction using Fuzzy-based Techniques. Section 4_Soft Computing based Question Answering Systems. Chapter 7. An Opinion Mining Framework for Answering Imprecise Query.- Section 5_Soft Computing based Online Health Care Systems.- Chapter 8. Web application using Soft Computing Techniques for Gynaecology Disease Diagnosis. Section 6_Soft Computing based Online Documents Clustering. Chapter 9. A Hybrid Approach of Fuzzy C Means Clustering Using Neutrosophic Logic.- Section 7_Soft Computing based Web Security Applications.- Chapter 10. Fuzzy Game Theory for Web Security.- Section 8_Soft Computing based Online Market Intelligence.- Chapter 11. Fuzzy models in business intelligence and predictability.- Section 9_Soft Computing based Internet of Things Applications.- Chapter 12. Multi-objective nature inspired technique to solve K-connected and M-coverage node deployment problem in wireless sensor networks. Chapter 13. Utilizing Soft Computing Application through QOS Optimization in MANET by Meta heuristic based Genetic Approach.- Section 10_Other Emerging Soft Computing Techniques & Applications.- Chapter 14. Variable Flight Mosquito Flying Optimization.
Dr. Rashid Ali
Rashid Ali obtained his B.Tech. and M.Tech. degrees from Aligarh Muslim University, India in 1999 and 2001, respectively. He went on to acquire his Ph.D. in Computer Engineering from the same university in 2010 and is currently working as an Associate Professor at the Department of Computer Engineering, Aligarh Muslim University, India. He has authored 8 book chapters and over 100 papers in various international journals and international conference proceedings of repute. His research interests include Web-Searching, Web-Mining and Soft Computing Techniques.
Prof. M. M. Sufyan Beg
Prof. M. M. Sufyan Beg holds a B.Tech. from Aligarh Muslim University, M.Tech. from the Indian Institute of Technology Kanpur (IIT Kanpur), India and a Ph.D. from the Indian Institute of Technology Delhi (IIT Delhi), India. Currently he is a Professor at the Department of Computer Engineering, Aligarh Muslim University, India. He has also visited the University of California at Berkeley as a BT Fellow. Prof. Beg has published 16 book chapters and over 115 papers. He has served as a reviewer and on the editorial board of many prominent journals. His current research interests are in the areas of Soft Computing, Question Answering Systems, Web Mining and Searching.
This book discusses the applications of different soft computing techniques for the web-based systems and services. The respective chapters highlight recent developments in the field of soft computing applications, from web-based information retrieval to online marketing and online healthcare. In each chapter author endeavor to explain the basic ideas behind the proposed applications in an accessible format for readers who may not possess a background in these fields.
This carefully edited book covers a wide range of new applications of soft computing techniques in Web recommender systems, Online documents classification, Online documents summarization, Online document clustering, Online market intelligence, Web usage profiling, Web data extraction, Social network extraction, Question answering systems, Online health care, Web knowledge management, Multimedia information retrieval, Navigation guides, User profiles extraction, Web-based distributed information systems, Web security applications, Internet of Things Applications and so on.
The book is aimed for researchers and practitioner who are engaged in developing and applying intelligent systems principles for solving real-life problems. Further, it has been struct