Rising Threats in Expert Applications and Solutions

1. Front Matter

   Pages i-xxi

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2. Sentiment Analysis on E-Learning Using Machine Learning Classifiers in Python

   • Shilpa Singh Hanswal, Astha Pareek, Geetika Vyas, Amita Sharma

   Pages 1-8

3. Assessment of Needless Code in a Program

   • Rekha Naug, Kavita

   Pages 9-18

4. Query Caching Technique Over Cloud-Based MapReduce System: A Survey

   • Vandana Vijay, Ruchi Nanda

   Pages 19-25

5. Fuzzy K-Means Clustering in Measuring Course Outcome Attainment System for Higher Educational Institutes

   • Jikitsha Sheth, Bankim Patel

   Pages 27-33

6. A Review and Comparative Study of Framework for E-Commerce Application Service on to the Public Cloud Environment

   • Mamta Sharma, Navneet Sharma

   Pages 35-43

7. An Implementation of Privacy Preserving “IF THEN ELSE” Rules for Vertically Partitioned Data

   • Kamlesh Ahuja, Navneet Sharma

   Pages 45-56

8. An Essential E-Governance Framework for Knowledge Discovery

   • Sangeetha Govinda, M. Hanumanthappa

   Pages 57-64

9. Vulnerability and Mitigation Strategies for Secure Expert Systems

   • Jaya Saxena, Anubha Jain, Rajashree Bothale

   Pages 65-72

10. Developing a Quality Model to Study the Impact of Variability Over the Reusability and Maintainability of Software Product Line Variability Models

    • Chitra Bhardwaj, Geetika Vyas, Amita Sharma, Astha Pareek

    Pages 73-76

11. Chunker for Gujarati Language Using Hybrid Approach

    • Chetana Tailor, Bankim Patel

    Pages 77-84

12. A Novel User Authentication Protocol Using Biometric Data for IoT Networks

    • M. Kameswara Rao, S. G. Santhi

    Pages 85-91

13. Comparative Study of Different Machine Learning Techniques in the Diagnosis of Dementia

    • Haneet Kour, Jatinder Manhas, Vinod Sharma

    Pages 93-104

14. Automated Voter System by Using Fingerprint and Offline Data Set with Texture Image Processing

    • S. B. Ashoka, M. Hanumanthappa, S. J. Mahendra

    Pages 105-109

15. A Hybrid Cluster and PCA-Based Framework for Heart Disease Prediction Using Logistic Regression

    • Atul Kumar Ramotra, Vibhakar Mansotra

    Pages 111-117

16. A Deep Learning Approach of Collaborative Filtering to Recommender System with Opinion Mining

    • Manish R. Visa, Dhiren B. Patel

    Pages 119-131

17. Analytical Design of the DIS Architecture: The Hybrid Model

    • B. R. Prakash, M. Hanumanthappa, H. V. Dattasmita, Vasantha Kavitha

    Pages 133-143

18. A Model for Effective Software Testing in Cloud Environment

    • Saini Pushpanjali, Jain Anubha

    Pages 145-153

19. Heuristic Expert Evaluation of e-Learning Application

    • Priyanka Mathur

    Pages 155-162

20. Image Query-Based Tablet Identification System by Examining Various Text Recognition Classifiers

    • A. B. Dhivya, M. Sundaresan

    Pages 163-173

This book presents high-quality, peer-reviewed papers from the FICR International Conference on Rising Threats in Expert Applications and Solutions 2020, held at IIS University Jaipur, Rajasthan, India, on January 17–19, 2020. Featuring innovative ideas from researchers, academics, industry professionals and students, the book covers a variety of topics, including expert applications and artificial intelligence/machine learning; advanced web technologies, like IoT, big data, and cloud computing in expert applications; information and cybersecurity threats and solutions; multimedia applications in forensics, security and intelligence; advances in app development; management practices for expert applications; and social and ethical aspects of expert applications in applied sciences. 

• FICR-TEAS Proceedings
• Web Technologies
• Security and Intelligence
• Cyber Security
• Cloud Computing
• Application Design
• Artificial Intelligence
• Machine Learning

• IIS Deemed to be University, Jaipur, India

  Vijay Singh Rathore

• Techno India College of Engineering, Kolkata, India

  Nilanjan Dey

• Department of Computer Science, University of Milan, Milano, Italy

  Vincenzo Piuri

• Porto Accounting and Business School, Polytechnic Institute of Porto, Porto, Portugal

  Rosalina Babo

• Jan Wyzykowski University, Polkowice, Poland

  Zdzislaw Polkowski

• Faculty of Engineering, University of Porto, Porto, Portugal

  João Manuel R. S. Tavares

Dr. Vijay Singh Rathore is presently working as a Professor in the Department of CS & IT, IIS (Deemed to be) University, Jaipur (India). He received Ph.D. from the University of Rajasthan and has teaching experience of 20 years.  He is Secretary, ACM Jaipur Chapter, Past Chairman, CSI Jaipur Chapter, got two patents published, Ph.D. Supervised (Awarded: 16, Under Supervision: 07), 80+ research papers, and 10+ books got published.  He is handling international affairs of The IIS University, Jaipur. His research areas are internet security, cloud computing, big data, and IoT.


Nilanjan Dey  is an Assistant Professor in Department of Information Technology at Techno India College of Technology, Kolkata, India. He is a visiting fellow of the University of Reading, UK. He was an  honorary Visiting Scientist at Global Biomedical Technologies Inc., CA, USA (2012-2015). He was awarded his PhD. from Jadavpur University in 2015. He has authored/editedmore than 70 books with Elsevier, Wiley, CRC Press and Springer, and published more than 300 papers. He is the Editor-in-Chief of International Journal of Ambient Computing and Intelligence, IGI Global, Associated Editor of  IEEE Access and International Journal of Information Technology, Springer. He is the Series Co-Editor of Springer Tracts in Nature-Inspired Computing, Springer, Series Co-Editor of Advances in Ubiquitous Sensing Applications for Healthcare, Elsevier, Series Editor of Computational Intelligence in Engineering Problem Solving and Intelligent Signal processing and data analysis, CRC. His main research interests include Medical Imaging, Machine learning, Computer Aided Diagnosis, Data Mining etc. He is the Indian Ambassador of International Federation for Information Processing – Young ICT Group and Senior member of IEEE.
Vincenzo Piuri is a Full Professor in Computer Engineering at the Università degli Studi di Milano, Italy (since 2000). His original results have been published in more than 400 papers in international journals, proceedings of international conferences, books, and book chapters. He is a Fellow of the IEEE, Distinguished Scientist of ACM, and senior member of INNS. He has been IEEE Vice President for Technical Activities (2015), IEEE Director, and President of the IEEE Computational Intelligence Society. 


Rosalina Babo is a Coordinator Professor of Information Systems Department, School of Accounting and Administration of Polytechnic of Porto (ISCAP/PPorto), Portugal. Since the year 2000 she is the head of the Information Systems Department and for about 12 years acted as a member of the university scientific board. Rosalina’s international recognition was improved with the opportunity to be a Visiting Professor at several universities in different countries namely Belgium (KU LEUVEN), Croatia (University of Split), Kosovo (University of Prishtina), Latvia (Latvia University of Agriculture). Rosalina was one of the founders of CEOS.PP (former CEISE/STI) research centre and its director for 5 years. Rosalina has served on committees for international conferences, and acts as a reviewer in scientific journals. As a book editor she collaborates with publishers such as Elsevier, Springer and IGI Global in the fields of Data analyses in Social Networks and eLearning. Having several published papers her main areas of research are e-learning, e-business, Internet applications focusing on usability and social networks.
 

Dr. Z. Polkowski at present is the Rector’s Representative for International Cooperation and Erasmus + Programme in Jan Wyzykowski University in Polkowice, Poland. He graduated from the Wroclaw University of Technology with the Ph.D. degree. Additionally, he graduated from the University of Zielona Gora, the Economic University of Wroclaw. The main areas of scientific interest are e-commerce, e-business, IT systems in business,and logistics—especially in small and medium businesses. Moreover, he is the owner of a small company, where he tries and tests new ideas in practice. In Polkowice, he has done many IT projects, especially in schools, small companies, and government institutions. 
João Manuel R. S. Tavares graduated in Mechanical Engineering at the Universidade do Porto, Portugal in 1992. He also earned his M.Sc. degree and Ph.D. degree in Electrical and Computer Engineering from the Universidade do Porto in 1995 and 2001, and attained his Habilitation in Mechanical Engineering in 2015. He is a senior researcher at the Instituto de Ciência e Inovação em Engenharia Mecânica e Engenharia Industrial (INEGI) and Associate Professor at the Department of Mechanical Engineering (DEMec) of the Faculdade de Engenharia da Universidade do Porto (FEUP).


João Tavares is co-editor of more than 55 books, co-author of more than 50 book chapters, 650 articles in international and national journals and conferences, and 3 international and 3 national patents. He has been a committee member of several international and national journals and conferences, is co-founder and co-editor of the book series “Lecture Notes in Computational Vision and Biomechanics” published by Springer, founder and Editor-in-Chief of the journal “Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization” published by Taylor & Francis, Editor-in-Chief of the journal “Computer Methods in Biomechanics and Biomedical Engineering” published by Taylor & Francis, and co-founder and co-chair of the international conference series: CompIMAGE, ECCOMAS VipIMAGE, ICCEBS and BioDental. Additionally, he has been (co-)supervisor of several MSc and PhD thesis and supervisor of several post-doc projects, and has participated in many scientific projects both as researcher and as scientific coordinator.
His main research areas include computational vision, medical imaging, computational mechanics, scientific visualization, human-computer interaction and new product development.

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