Knowledge Management and Acquisition for Intelligent Systems: 17th Pacific Rim Knowledge Acquisition Workshop, PKAW 2020, Yokohama, Japan, January 7–8, 2021, Proceedings | SpringerLink
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Knowledge Management and Acquisition for Intelligent Systems

17th Pacific Rim Knowledge Acquisition Workshop, PKAW 2020, Yokohama, Japan, January 7–8, 2021, Proceedings

  • Conference proceedings
  • © 2021

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Editors:
  1. Hiroshi Uehara

    1. Akita Prefectural University, Akita, Japan

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  2. Takayasu Yamaguchi

    1. Akita Prefectural University, Akita, Japan

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    You can also search for this editor in PubMed   Google Scholar

  3. Quan Bai

    1. University of Tasmania, Sandy Bay, Australia

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    You can also search for this editor in PubMed   Google Scholar

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 12280)

Part of the book sub series: Lecture Notes in Artificial Intelligence (LNAI)

Included in the following conference series:

Conference proceedings info: PKAW 2021.

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About this book

This book constitutes the proceedings of the 17th International Workshop on Knowledge Management and Acquisition for Intelligent Systems, PKAW 2020, held in Yokohama, Japan, in January 2021.

The 10 full papers and 5 short papers included in this volume were carefully reviewed and selected from 28 initial submissions. PKAW primarily focuses on the multidisciplinary approach of the human-driven and data-driven knowledge acquisition, which is the key concept that has remained unchanged since the workshop has been established.

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Table of contents (15 papers)

  1. Front Matter

    Pages i-x
    Download chapter PDF

  2. Accelerating the Backpropagation Algorithm by Using NMF-Based Method on Deep Neural Networks

    • Suhyeon Baek, Akira Imakura, Tetsuya Sakurai, Ichiro Kataoka
    Pages 1-13

  3. Collaborative Data Analysis: Non-model Sharing-Type Machine Learning for Distributed Data

    • Akira Imakura, Xiucai Ye, Tetsuya Sakurai
    Pages 14-29

  4. ERA: Extracting Planning Macro-Operators from Adjacent and Non-adjacent Sequences

    • Sandra Castellanos-Paez, Romain Rombourg, Philippe Lalanda
    Pages 30-45

  5. Deep Neural Network Incorporating CNN and MF for Item-Based Fashion Recommendation

    • Taku Ito, Issei Nakamura, Shigeki Tanaka, Toshiki Sakai, Takeshi Kato, Yusuke Fukazawa et al.
    Pages 46-57

  6. C-LIME: A Consistency-Oriented LIME for Time-Series Health-Risk Predictions

    • Taku Ito, Keiichi Ochiai, Yusuke Fukazawa
    Pages 58-69

  7. Discriminant Knowledge Extraction from Electrocardiograms for Automated Diagnosis of Myocardial Infarction

    • Girmaw Abebe Tadesse, Komminist Weldemariam, Hamza Javed, Yong Liu, Jin Liu, Jiyan Chen et al.
    Pages 70-82

  8. Stabilizing the Predictive Performance for Ear Emergence in Rice Crops Across Cropping Regions

    • Yasuhiro Iuchi, Hiroshi Uehara, Yusuke Fukazawa, Yoshihiro Kaneta
    Pages 83-97

  9. Description Framework for Stakeholder-Centric Value Chain of Data to Understand Data Exchange Ecosystem

    • Teruaki Hayashi, Gensei Ishimura, Yukio Ohsawa
    Pages 98-105

  10. Attributed Heterogeneous Network Embedding for Link Prediction

    • Tingting Wang, Weiwei Yuan, Donghai Guan
    Pages 106-119

  11. Automatic Generation and Classification of Malicious FQDN

    • Kenichi Yoshida, Kazunori Fujiwara, Akira Sato, Shuji Sannomiya
    Pages 120-129

  12. Analyzing Temporal Change in LoRa Communication Quality Using Massive Measurement Data

    • Kazuya Suzuki, Takuya Takahashi
    Pages 130-137

  13. Challenge Closed-Book Science Exam: A Meta-Learning Based Question Answering System

    • Xinyue Zheng, Peng Wang, Qigang Wang, Zhongchao Shi
    Pages 138-151

  14. Identification of B2B Brand Components and Their Performance’s Relevance Using a Business Card Exchange Network

    • Tomonori Manabe, Kei Nakagawa, Keigo Hidawa
    Pages 152-167

  15. Semi-automatic Construction of Sight Words Dictionary for Filipino Text Readability

    • Joseph Marvin Imperial, Ethel Ong
    Pages 168-177

  16. Automated Concern Exploration in Pandemic Situations - COVID-19 as a Use Case

    • Jingli Shi, Weihua Li, Yi Yang, Naimeng Yao, Quan Bai, Sira Yongchareon et al.
    Pages 178-185

  17. Back Matter

    Pages 187-187
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Other volumes

  1. Knowledge Management and Acquisition for Intelligent Systems

Editors and Affiliations

  • Akita Prefectural University, Akita, Japan

    Hiroshi Uehara, Takayasu Yamaguchi

  • University of Tasmania, Sandy Bay, Australia

    Quan Bai

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