Computational collective intelligence 12th international conference, ICCCI 2020 Da Nang, Vietnam, November 30-December 3, 2020 proceedings /
This volume constitutes the refereed proceedings of the 12th International Conference on Computational Collective Intelligence, ICCCI 2020, held in Da Nang, Vietnam, in November 2020.* The 70 full papers presented were carefully reviewed and selected from 314 submissions. The papers are grouped in t...
| Corporate Authors: | ICCCI (Conference) Online) |
|---|---|
| Other Authors: | ICCCI (Conference), Nguyen, Ngoc Thanh (Computer scientist), Hoang, Bao Hung., Huynh, Cong Phap., Hwang, Dosam., Trawiński, Bogdan., Vossen, Gottfried., SpringerLink (Online service) |
| Format: | eBook |
| Language: | English |
| Published: |
Cham, Switzerland :
Springer,
2020.
Cham, Switzerland : 2020. |
| Physical Description: |
1 online resource. |
| Series: |
Lecture notes in computer science ;
12496. Lecture notes in computer science. Lecture notes in artificial intelligence. LNCS sublibrary. Artificial intelligence. |
| Subjects: |
Table of Contents:
- Intro
- Preface
- Organization
- Contents
- Knowledge Engineering and Semantic Web
- Towards a Holistic Schema Matching Approach Designed for Large-Scale Schemas
- 1 Introduction
- 2 Related Work
- 3 Problem Statement
- 4 The HMO Approach
- 4.1 Overlaps and Distinctions Generator
- 4.2 Schema Overlaps Matcher
- 4.3 Distinct Elements Matcher
- 5 Experimental Results
- 5.1 Experimental Settings
- 5.2 Results and Discussion
- 6 Conclusion and Future Work
- References
- Overcoming Local Optima for Determining 2-Optimality Consensus for Collectives
- 1 Introduction.
- 2 Related Work
- 3 Basic Notions
- 4 Proposed Approach
- 5 Experiments and Evaluation
- 5.1 Consensus Quality
- 5.2 Running Time
- 6 Conclusions
- References
- Fundamentals of Generalized and Extended Graph-Based Structural Modeling
- 1 Introduction
- 2 Formal Definitions
- 3 Extended Graph Generalization Abstract Syntax
- 4 Extended Graph Generalization Features
- 5 Extended Graph Generalization Semantics
- 6 Extended Graph Generalization Concrete Syntax
- 6.1 Extended Graph Generalization Diagram Example
- 7 A Social Network Model Example Expressed in the EGG Categories.
- 8 Conclusions
- References
- Social Networks and Recommender Systems
- Topic Diffusion Prediction on Bibliographic Network: New Approach with Combination Between External and Intrinsic Factors
- 1 Introduction
- 2 Preliminaries
- 2.1 Meta-Path
- 3 Proposed Approach
- 3.1 Supervised Learning for Topic Diffusion on Bibliographic Network
- 3.2 Activation Probability Feature
- 3.3 Author's Interest Feature
- 4 Experiments and Results
- 4.1 Experiments
- 4.2 Results
- 5 Conclusion and Future Work
- References.
- Detecting the Degree of Risk in Online Market Based on Satisfaction of Twitter Users
- 1 Introduction
- 2 Related Works
- 3 Research Problem
- 3.1 Definition of Tweet and Types of Tweet Sentiments
- 3.2 Definition of Different Types of User Satisfaction
- 3.3 Definition of Different Degrees of Risk
- 3.4 Research Question
- 4 Proposed Method
- 4.1 Feature Extraction
- 4.2 Tweet Sentiment Analysis
- 4.3 Determining the User Satisfaction, Dissatisfaction, and Hesitation
- 4.4 Calculating the Degree of Risk
- 5 Experiment
- 5.1 Data Acquisition
- 5.2 Evaluation Results.
- 5.3 Results and Discussion
- 6 Conclusion and Future Work
- References
- Method of Detecting Bots on Social Media. A Literature Review
- 1 Introduction and Background
- 2 Type of Bots
- 3 Method of Detecting Social Bots
- 3.1 Social Media Giant Model
- 3.2 Experts-Approach
- 3.3 Collective Intelligence-Approach
- 3.4 Machine Learning Model
- 3.5 Hybrid Method
- 3.6 Graphical Modeling to Detect Bots
- 3.7 Behavioral Based-Model
- 4 Discussion and Open Challenges
- 5 Conclusions and Future Directions
- References.