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Knowledge Management and Acquisition for Intelligent Systems

14th Pacific Rim Knowledge Acquisition Workshop, PKAW 2016, Phuket, Thailand, August 22-23, 2016, Proceedings

  • Conference proceedings
  • © 2016

Overview

Editors:
  1. Hayato Ohwada

    1. Tokyo University of Science , Noda, Japan

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    You can also search for this editor in PubMed   Google Scholar

  2. Kenichi Yoshida

    1. University of Tsukuba, Tokyo, Japan

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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 9806)

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

Included in the following conference series:

Conference proceedings info: PKAW 2016.

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Table of contents (21 papers)

  1. Front Matter

    Pages I-X
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  2. Knowledge Acquisition and Machine Learning

    1. Front Matter

      Pages 1-1
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    2. Abbreviation Identification in Clinical Notes with Level-wise Feature Engineering and Supervised Learning

      • Thi Ngoc Chau Vo, Tru Hoang Cao, Tu Bao Ho
      Pages 3-17

    3. A New Hybrid Rough Set and Soft Set Parameter Reduction Method for Spam E-Mail Classification Task

      • Masurah Mohamad, Ali Selamat
      Pages 18-30

    4. Combining Feature Selection with Decision Tree Criteria and Neural Network for Corporate Value Classification

      • Ratna Hidayati, Katsutoshi Kanamori, Ling Feng, Hayato Ohwada
      Pages 31-42

    5. Learning Under Data Shift for Domain Adaptation: A Model-Based Co-clustering Transfer Learning Solution

      • Santosh Kumar, Xiaoying Gao, Ian Welch
      Pages 43-54

    6. Robust Modified ABC Variant (JA-ABC5b) for Solving Economic Environmental Dispatch (EED)

      • Noorazliza Sulaiman, Junita Mohamad-Saleh, Abdul Ghani Abro
      Pages 55-67

  3. Knowledge Acquisition and Natural Language Processing

    1. Front Matter

      Pages 69-69
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    2. Enhanced Rules Application Order to Stem Affixation, Reduplication and Compounding Words in Malay Texts

      • Mohamad Nizam Kassim, Mohd Aizaini Maarof, Anazida Zainal, Amirudin Abdul Wahab
      Pages 71-85

    3. Building a Process Description Repository with Knowledge Acquisition

      • Diyin Zhou, Hye-Young Paik, Seung Hwan Ryu, John Shepherd, Paul Compton
      Pages 86-101

    4. Specialized Review Selection Using Topic Models

      • Anh Duc Nguyen, Nan Tian, Yue Xu, Yuefeng Li
      Pages 102-114

  4. Knowledge Acquisition from Network and Big Data

    1. Front Matter

      Pages 115-115
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    2. Competition Detection from Online News

      • Zhong-Yong Chen, Chien Chin Chen
      Pages 117-128

    3. Acquiring Seasonal/Agricultural Knowledge from Social Media

      • Hiroshi Uehara, Kenichi Yoshida
      Pages 129-140

    4. Amalgamating Social Media Data and Movie Recommendation

      • Maria R. Lee, Tsung Teng Chen, Ying Shun Cai
      Pages 141-152

    5. Predicting the Scale of Trending Topic Diffusion Among Online Communities

      • Dohyeong Kim, Soyeon Caren Han, Sungyoung Lee, Byeong Ho Kang
      Pages 153-165

    6. Finding Reliable Source for Event Detection Using Evolutionary Method

      • Raushan Ara Dilruba, Mahmuda Naznin
      Pages 166-180

  5. Knowledge Acquisition and Applications

    1. Front Matter

      Pages 181-181
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    2. Knowledge Acquisition for Learning Analytics: Comparing Teacher-Derived, Algorithm-Derived, and Hybrid Models in the Moodle Engagement Analytics Plugin

      • Danny Y. T. Liu, Deborah Richards, Phillip Dawson, Jean-Christophe Froissard, Amara Atif
      Pages 183-197

    3. Building a Mental Health Knowledge Model to Facilitate Decision Support

      • Bo Hu, Boris Villazon Terrazas
      Pages 198-212
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  1. Knowledge Management and Acquisition for Intelligent Systems

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About this book

This book constitutes the proceedings of the 14th International Workshop on Knowledge Management and Acquisition for Intelligent Systems, PKAW 2016, held in Phuket, Thailand, in August 2016. The 16 full papers and 5 short papers included in this volume were carefully reviewed and selected from 61 initial submissions. They deal with knowledge acquisition and machine learning; knowledge acquisition and natural language processing; knowledge acquisition from network and big data; and knowledge acquisition and applications.

Editors and Affiliations

  • Tokyo University of Science , Noda, Japan

    Hayato Ohwada

  • University of Tsukuba, Tokyo, Japan

    Kenichi Yoshida

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