Advances in Information and Communication : proceedings of the 2020 Future of Information and Communication Conference (FICC).: proceedings of the 2020 Future of Information and Communication Conference (FICC). Volume 2 (2020)
- Record Type:
- Book
- Title:
- Advances in Information and Communication : proceedings of the 2020 Future of Information and Communication Conference (FICC).: proceedings of the 2020 Future of Information and Communication Conference (FICC). Volume 2 (2020)
- Main Title:
- Advances in Information and Communication : proceedings of the 2020 Future of Information and Communication Conference (FICC).
- Other Titles:
- FICC
- Further Information:
- Note: Kohei Arai, Supriya Kapoor, Rahul Bhatia, editors.
- Other Names:
- Arai, Kohei
Kapoor, Supriya
Bhatia, Rahul
Future of Information and Communication Conference - Contents:
- Intro -- Preface -- Contents -- Comparative Study on Swarm Based Algorithms for Feature Reduction in Twitter Sentiment Analysis on Figurative Language -- Abstract -- 1 Introduction -- 2 Related Work -- 3 Feature Reduction -- 3.1 Binary Particle Swarm Optimisation -- 3.2 Binary Genetic Algorithm -- 3.3 Binary Gravitational Search Algorithm -- 4 Systematic Architecture -- 4.1 Collecting Data -- 4.2 TF -- IDF Algorithm -- 4.3 Feature Selection -- 4.4 Models -- 4.5 Experiment Results -- 5 Result and Analysis -- 5.1 Feature Selection -- 5.2 Final Accuracy -- 5.3 Time Taken -- 6 Conclusions 5 The Taxonomy -- 5.1 People (Employees) -- 5.2 Data -- 5.3 Software and Hardware (SW/HW) -- 5.4 Network -- 6 Threats to Validity -- 7 Conclusion -- References -- A Trust Framework for the Collection of Reliable Crowd-Sourced Data -- 1 Introduction -- 2 The Trust Issue in Crowd-Sourced Data -- 3 Framework for Creating Trust -- 3.1 User and Framework Interaction -- 3.2 Malicious Users -- 3.3 Framework Implementation and Survey Design -- 3.4 Benefits of Framework -- 4 Comparison of Traditional Survey and Trusted Survey -- 4.1 Analysis -- 5 Conclusions and Future Work -- References Sentiment Analysis for University Students' Feedback -- Abstract -- 1 Introduction -- 2 Related Work -- 3 Vietnamese Students' Feedbacks Data -- 4 Methodology -- 4.1 Classification Methods -- 4.2 Features -- 5 Experiments and Results -- 5.1 Experiment Settings -- 5.2 Results -- 5.3 Error Analysis -- 5.4 Application -- 6Intro -- Preface -- Contents -- Comparative Study on Swarm Based Algorithms for Feature Reduction in Twitter Sentiment Analysis on Figurative Language -- Abstract -- 1 Introduction -- 2 Related Work -- 3 Feature Reduction -- 3.1 Binary Particle Swarm Optimisation -- 3.2 Binary Genetic Algorithm -- 3.3 Binary Gravitational Search Algorithm -- 4 Systematic Architecture -- 4.1 Collecting Data -- 4.2 TF -- IDF Algorithm -- 4.3 Feature Selection -- 4.4 Models -- 4.5 Experiment Results -- 5 Result and Analysis -- 5.1 Feature Selection -- 5.2 Final Accuracy -- 5.3 Time Taken -- 6 Conclusions 5 The Taxonomy -- 5.1 People (Employees) -- 5.2 Data -- 5.3 Software and Hardware (SW/HW) -- 5.4 Network -- 6 Threats to Validity -- 7 Conclusion -- References -- A Trust Framework for the Collection of Reliable Crowd-Sourced Data -- 1 Introduction -- 2 The Trust Issue in Crowd-Sourced Data -- 3 Framework for Creating Trust -- 3.1 User and Framework Interaction -- 3.2 Malicious Users -- 3.3 Framework Implementation and Survey Design -- 3.4 Benefits of Framework -- 4 Comparison of Traditional Survey and Trusted Survey -- 4.1 Analysis -- 5 Conclusions and Future Work -- References Sentiment Analysis for University Students' Feedback -- Abstract -- 1 Introduction -- 2 Related Work -- 3 Vietnamese Students' Feedbacks Data -- 4 Methodology -- 4.1 Classification Methods -- 4.2 Features -- 5 Experiments and Results -- 5.1 Experiment Settings -- 5.2 Results -- 5.3 Error Analysis -- 5.4 Application -- 6 Conclusion and Future Work -- References -- Development of Waste Collection Model Using Mobile Phone Data: A Case Study in Latvia -- Abstract -- 1 Introduction -- 2 Glass Waste Collection System and Mobile Phone Base Stations Location in Riga 3 Analysis of Collected Waste Volumes Based on Location and Time Period -- 3.1 Data Statistical Analysis -- 3.2 The Strategies for Waste Containers Location -- 4 The Data Model of Glass Waste Collection Information System -- 4.1 MS Excel Functionality Model -- 4.2 Conceptual Architecture of Waste Container Placement Software -- 5 Conclusions -- Acknowledgments -- References -- Artificial Social Intelligence: Hotel Rate Prediction -- Abstract -- 1 Introduction -- 2 Microservices -- 3 Cloud Native Computing Foundation -- 4 Artificial Social Intelligence -- 5 Case Study: Hotel Rate Prediction … (more)
- Issue Display:
- Volume 2
- Volume:
- 2
- Issue Sort Value:
- 0000-0002-0000-0000
- Publisher Details:
- Cham : Springer
- Publication Date:
- 2020
- Extent:
- 1 online resource (943 pages)
- Subjects:
- 004.6
Information technology -- Congresses
Communication -- Technological innovations -- Congresses
Communication -- Technological innovations
Information technology
Electronic books
Conference papers and proceedings - Languages:
- English
- ISBNs:
- 9783030394424
3030394425 - Related ISBNs:
- 9783030394417
- Notes:
- Note: References-Statistical Analysis of the Effects of Institutions on the Economic Growth of France in Recent Years-Abstract-1 Introduction-2 Background-2.1 Economic Growth-2.2 Related Work-3 Method-3.1 Data Source-3.2 Data Analysis-4 Results-5 Conclusions-References-A Taxonomy of Social Engineering Defense Mechanisms-1 Introduction-2 Background-2.1 Technical Social Engineering Attacks-2.2 Non-Technical Social Engineering Attacks-3 Related Work-4 Research Methodology-4.1 The Research Question-4.2 Building the Taxonomy Methodology
Note: Print version record. - Access Rights:
- Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
- Access Usage:
- Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library HMNTS - ELD.DS.491120
- Ingest File:
- 03_052.xml