Details

Subject(s)

• Computer security—Congresses [Browse]
• Expert systems (Computer science)—Security measures—Congresses [Browse]

Editor

• Rathore, Vijay Singh [Browse]

Series

• Advances in intelligent systems and computing ; 1187. [More in this series]
• Advances in intelligent systems and computing ; Volume 1187 [More in this series]

Summary note

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. .

Source of description

Description based on print version record.

Contents

• 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.

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ISBN

981-15-6014-5

Doi

• 10.1007/978-981-15-6014-9

Statement on language in description

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