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

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Titel
Rising threats in expert applications and solutions proceedings of FICR-TEAS 2020
verantwortlich
Rathore, Vijay Singh.; Dey, Nilanjan.; Piuri, Vincenzo.; Babo, Rosalina.; Polkowski, Zdzislaw.; Tavares, João Manuel R. S.; FICR-TEAS (Conference) (1st : 2020 : Jaipur, India)
Schriftenreihe
Advances in intelligent systems and computing ; v. 1187
veröffentlicht
Singapore: Springer, 2020
©2021
Erscheinungsjahr
2020
Teil von
Advances in intelligent systems and computing ; ; 1187.
Medientyp
E-Book
Datenquelle
British National Bibliography
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Inhaltsangabe:
  • Intro
  • Preface
  • Acknowledgments
  • About This Book
  • Contents
  • About the Editors
  • Sentiment Analysis on E-Learning Using Machine Learning Classifiers in Python
  • 1 Introduction
  • 2 Literature Review
  • 3 Proposed Work
  • 3.1 Data Collection
  • 3.2 Preprocessing of Data
  • 3.3 Sentimental Analysis Process
  • 4 Result
  • 5 Conclusion and Feature Work
  • References
  • Assessment of Needless Code in a Program
  • 1 Introduction
  • 2 Symbolic Execution
  • 3 Proposed Algorithm
  • 4 Sample Run 1
  • 5 Sample Run 2
  • 6 Conclusion
  • References
  • Query Caching Technique Over Cloud-Based MapReduce System: A Survey
  • 1 Introduction
  • 1.1 MapReduce Over Cloud
  • 2 Caching in MapReduce
  • 3 Literature Review
  • 4 Conclusion
  • References
  • Fuzzy K-Means Clustering in Measuring Course Outcome Attainment System for Higher Educational Institutes
  • 1 Introduction
  • 2 Assessment Practices
  • 3 Methodology
  • 3.1 Rule Configuration Table
  • 3.2 Mapping Table
  • 3.3 Assessment Instrument Course Table
  • 3.4 Question-CO Table
  • 3.5 CO Attainment Measuring Module (CAMM)
  • 4 Results and Discussion
  • 5 Conclusion
  • References
  • A Review and Comparative Study of Framework for E-Commerce Application Service on to the Public Cloud Environment
  • 1 Introduction
  • 1.1 Types of Clouds in Cloud Computing
  • 2 Review of Past Work
  • 3 Comparison Among E-Commerce-Based Public Cloud (AWS, Google and Azure)
  • 4 Conclusion and Future Work
  • References
  • An Implementation of Privacy Preserving "IF THEN ELSE" Rules for Vertically Partitioned Data
  • 1 Introduction
  • 2 Literature Survey
  • 3 Proposed Work
  • 3.1 Vertical Partitioned Data
  • 3.2 Proposed PPDM Model
  • 4 Result Analysis
  • 4.1 Accuracy
  • 4.2 Error Rate
  • 4.3 Memory Usages
  • 4.4 Time Consumed
  • 5 Conclusion and Future Work
  • 5.1 Conclusion
  • 5.2 Future Work
  • References
  • An Essential E-Governance Framework for Knowledge Discovery
  • 1 Introduction
  • 1.1 Strategy of Implementation of E-Government
  • 1.2 Web-Based Public Grievance System in E-Governance
  • 1.3 Mobile-Based Public Grievance System in E-Governance
  • 1.4 Technical Challenges in Existing Public Grievance System
  • 2 Research Methodology
  • 3 Conclusion
  • References
  • Vulnerability and Mitigation Strategies for Secure Expert Systems
  • 1 Introduction
  • 2 Expert Systems Security
  • 3 Expert System Elements
  • 4 Expert System Security Perspective
  • 4.1 SQL Injection [5]
  • 4.2 Cross-Site Scripting [7]
  • 4.3 Buffer Overflow [9]
  • 5 Conclusion
  • References
  • Developing a Quality Model to Study the Impact of Variability Over the Reusability and Maintainability of Software Product Line Variability Models
  • 1 Introduction
  • 2 Problem Identification and Statement
  • 3 Proposed Quality Model
  • 4 Future Work
  • References
  • Chunker for Gujarati Language Using Hybrid Approach
  • 1 Chunking-Introduction
  • 2 Literature Survey