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) |
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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: |
Summary: |
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 topical sections on: knowledge engineering and semantic web; social networks and recommender systems; collective decision-making; applications of collective intelligence; data mining methods and applications; machine learning methods; deep learning and applications for industry 4.0; computer vision techniques; biosensors and biometric techniques; innovations in intelligent systems; natural language processing; low resource languages processing; computational collective intelligence and natural language processing; computational intelligence for multimedia understanding; and intelligent processing of multimedia in web systems. *The conference was held virtually due to the COVID-19 pandemic. |
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Item Description: |
International conference proceedings. "The conference was held virtually due to the COVID-19 pandemic." Includes author index. 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 topical sections on: knowledge engineering and semantic web; social networks and recommender systems; collective decision-making; applications of collective intelligence; data mining methods and applications; machine learning methods; deep learning and applications for industry 4.0; computer vision techniques; biosensors and biometric techniques; innovations in intelligent systems; natural language processing; low resource languages processing; computational collective intelligence and natural language processing; computational intelligence for multimedia understanding; and intelligent processing of multimedia in web systems. *The conference was held virtually due to the COVID-19 pandemic. 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. |
Physical Description: |
1 online resource. |
ISBN: |
9783030630072 3030630072 |