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Rising threats in expert application...

FICR-TEAS (Conference) (2020 :)

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Rising threats in expert applications and solutions = proceedings of FICR-TEAS 2020 /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Rising threats in expert applications and solutions/ edited by Vijay Singh Rathore .. [et al.].
其他題名:	proceedings of FICR-TEAS 2020 /
其他題名:	FICR-TEAS 2020
其他作者:	Rathore, Vijay Singh.
團體作者:	FICR-TEAS (Conference)
出版者:	Singapore :Springer Singapore : : 2021.,
面頁冊數:	xxi, 799 p. :ill., digital ;24 cm.
內容註:	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.
Contained By:	Springer Nature eBook
標題:	Expert systems (Computer science) - Congresses. - Security measures -
電子資源:	https://doi.org/10.1007/978-981-15-6014-9
ISBN:	9789811560149

Rising threats in expert applications and solutions = proceedings of FICR-TEAS 2020 /
Rising threats in expert applications and solutionsproceedings of FICR-TEAS 2020 /[electronic resource] :FICR-TEAS 2020edited by Vijay Singh Rathore .. [et al.]. - Singapore :Springer Singapore :2021. - xxi, 799 p. :ill., digital ;24 cm. - Advances in intelligent systems and computing,v.11872194-5357 ;. - Advances in intelligent systems and computing ;v.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.

ISBN: 9789811560149

Standard No.: 10.1007/978-981-15-6014-9doiSubjects--Topical Terms:

3486476
Expert systems (Computer science)
--Security measures--Congresses.

LC Class. No.: QA76.76.E95 / F53 2020

Dewey Class. No.: 006.33

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