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Sentiment Analysis on E-learning using Machine Learning Classifiers in Python -- Assessment of needless code in a program -- Query caching technique over cloud based mapreduce system: a survey -- Fuzzy K-means Clutering In Measuring Course Outcome Attainment System For Higher Educational Institutes -- A Review And Comparative Study Of Frameworks For E-Commerce Application Service Onto The Public Cloud Environment -- An Implementation Of Privacy-Preserving “IF THEN ELSE” Rules For Vertically Partitioned Data -- An essential E-Governance framework for Knowledge discovery -- Vulnerability and mitigation strategies for secure expert systems -- Developing a quality model to study the impact of variability over the reusability and maintainability of software product line variabilty models -- Chunker For Gujarati Language Using Hybrid Approach., 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. . |
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Rising threats in expert applications and solutions: proceedings of FICR-TEAS 2020, Advances in intelligent systems and computing, 1187, Sentiment Analysis on E-learning using Machine Learning Classifiers in Python -- Assessment of needless code in a program -- Query caching technique over cloud based mapreduce system: a survey -- Fuzzy K-means Clutering In Measuring Course Outcome Attainment System For Higher Educational Institutes -- A Review And Comparative Study Of Frameworks For E-Commerce Application Service Onto The Public Cloud Environment -- An Implementation Of Privacy-Preserving “IF THEN ELSE” Rules For Vertically Partitioned Data -- An essential E-Governance framework for Knowledge discovery -- Vulnerability and mitigation strategies for secure expert systems -- Developing a quality model to study the impact of variability over the reusability and maintainability of software product line variabilty models -- Chunker For Gujarati Language Using Hybrid Approach., 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. ., Computational intelligence., Artificial intelligence., Big data., Computer security., Konferenzschrift, Maschinelles Lernen, Web Technologie, Internet der Dinge, Big Data, Cloud Computing |
| title |
Rising threats in expert applications and solutions: proceedings of FICR-TEAS 2020 |
| title_auth |
Rising threats in expert applications and solutions proceedings of FICR-TEAS 2020 |
| title_full |
Rising threats in expert applications and solutions proceedings of FICR-TEAS 2020 Vijay Singh Rathore, Nilanjan Dey, Vincenzo Piuri, Rosalina Babo, Zdzislaw Polkowski, João Manuel R. S. Tavares, editors |
| title_fullStr |
Rising threats in expert applications and solutions proceedings of FICR-TEAS 2020 Vijay Singh Rathore, Nilanjan Dey, Vincenzo Piuri, Rosalina Babo, Zdzislaw Polkowski, João Manuel R. S. Tavares, editors |
| title_full_unstemmed |
Rising threats in expert applications and solutions proceedings of FICR-TEAS 2020 Vijay Singh Rathore, Nilanjan Dey, Vincenzo Piuri, Rosalina Babo, Zdzislaw Polkowski, João Manuel R. S. Tavares, editors |
| title_in_hierarchy |
1187. Rising threats in expert applications and solutions: proceedings of FICR-TEAS 2020 (2021) |
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Rising threats in expert applications and solutions |
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rising threats in expert applications and solutions proceedings of ficr-teas 2020 |
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proceedings of FICR-TEAS 2020 |
| title_unstemmed |
Rising threats in expert applications and solutions: proceedings of FICR-TEAS 2020 |
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Computational intelligence., Artificial intelligence., Big data., Computer security., Konferenzschrift, Maschinelles Lernen, Web Technologie, Internet der Dinge, Big Data, Cloud Computing |
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Computational intelligence., Artificial intelligence., Big data., Computer security., Konferenzschrift, Maschinelles Lernen, Web Technologie, Internet der Dinge, Big Data, Cloud Computing |
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https://www.gbv.de/dms/tib-ub-hannover/1739063198.pdf |
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