Advances in Computational Collective Intelligence

1. Front Matter

   Pages i-xxix

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2. Data Mining and Machine Learning

   1. Front Matter

      Pages 1-1

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   2. Rule Induction of Automotive Historic Styles Using Decision Tree Classifier

      • Hung-Hsiang Wang, Chih-Ping Chen

      Pages 3-14

   3. Deep Learning for Multilingual POS Tagging

      • Alymzhan Toleu, Gulmira Tolegen, Rustam Mussabayev

      Pages 15-24

   4. Study of Machine Learning Techniques on Accident Data

      • Zakaria Shams Siam, Rubyat Tasnuva Hasan, Soumik Sarker Anik, Ankit Dev, Sumaia Islam Alita, Mustafizur Rahaman et al.

      Pages 25-37

   5. Soil Analysis and Unconfined Compression Test Study Using Data Mining Techniques

      • Abdullah Md. Sarwar, Sayeed Md. Shaiban, Suparna Biswas, Arshi Siddiqui Promiti, Tarek Ibne Faysal, Lubaba Bazlul et al.

      Pages 38-48

   6. Self-sorting of Solid Waste Using Machine Learning

      • Tyson Chan, Jacky H. Cai, Francis Chen, Ka C. Chan

      Pages 49-60

   7. Clustering Algorithms in Mining Fans Operating Mode Identification Problem

      • Bartosz Jachnik, Paweł Stefaniak, Natalia Duda, Paweł Śliwiński

      Pages 61-73

   8. K-Means Clustering for Features Arrangement in Metagenomic Data Visualization

      • Hai Thanh Nguyen, Toan Bao Tran, Huong Hoang Luong, Trung Phuoc Le, Nghi C. Tran, Quoc-Dinh Truong

      Pages 74-86

   9. Small Samples of Multidimensional Feature Vectors

      • Leon Bobrowski

      Pages 87-98

   10. Using Fourier Series to Improve the Discrete Grey Model (1, 1)

       • Van-Thanh Phan, Zbigniew Malara, Ngoc Thang Nguyen

       Pages 99-109

   11. Studying on the Accuracy Improvement of GM (1, 1) Model

       • Van Đat Nguyen, Van-Thanh Phan, Ngoc Thang Nguyen, Doan Nhan Dao, Le Thanh Ha

       Pages 110-121

3. Deep Learning and Applications for Industry 4.0

   1. Front Matter

      Pages 123-123

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   2. An Evaluation of Image-Based Malware Classification Using Machine Learning

      • Tran The Son, Chando Lee, Hoa Le-Minh, Nauman Aslam, Moshin Raza, Nguyen Quoc Long

      Pages 125-138

   3. Automatic Container Code Recognition Using MultiDeep Pipeline

      • Duy Nguyen, Duc Nguyen, Thong Nguyen, Khoi Ngo, Hung Cao, Thinh Vuong et al.

      Pages 139-153

   4. An Efficient Solution for People Tracking and Profiling from Video Streams Using Low-Power Compute

      • Marius Eduard Cojocea, Traian Rebedea

      Pages 154-165

   5. Simple Pose Network with Skip-Connections for Single Human Pose Estimation

      • Van-Thanh Hoang, Kang-Hyun Jo

      Pages 166-174

   6. Simple Fine-Tuning Attention Modules for Human Pose Estimation

      • Tien-Dat Tran, Xuan-Thuy Vo, Moahamammad-Ashraf Russo, Kang-Hyun Jo

      Pages 175-185

   7. Human Eye Detector with Light-Weight and Efficient Convolutional Neural Network

      • Duy-Linh Nguyen, Muhamad Dwisnanto Putro, Kang-Hyun Jo

      Pages 186-196

4. Recommender Systems

   1. Front Matter

      Pages 197-197

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This book constitutes refereed proceedings of the 12th International Conference on International Conference on Computational Collective Intelligence, ICCCI 2020, held in Da Nang, Vietnam, in November – December 2020. Due to the the COVID-19 pandemic the conference was held online. 

The 68 papers were thoroughly reviewed and selected from 314 submissions. The papers are organized according to the following topical sections: ​data mining and machine learning; deep learning and applications for industry 4.0; recommender systems; computer vision techniques; decision support and control systems; intelligent management information systems; innovations in intelligent systems; intelligent modeling and simulation approaches for games and real world systems; experience enhanced intelligence to IoT; data driven IoT for smart society; applications of collective intelligence; natural language processing; low resource languages processing; computational collective intelligence and natural language processing.

• artificial intelligence
• computational linguistics
• computer networks
• computer systems
• computer vision
• correlation analysis
• data mining
• databases
• Human-Computer Interaction (HCI)
• image analysis
• image processing
• image segmentation
• information retrieval
• machine learning
• Natural Language Processing (NLP)
• network protocols
• neural networks
• pattern recognition
• signal processing

• Wroclaw University of Economics and Business, Wrocław, Poland

  Marcin Hernes

• Wrocław University of Science and Technology, Wrocław, Poland

  Krystian Wojtkiewicz

• University of Newcastle, Newcastle, Australia

  Edward Szczerbicki

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