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  • Conference proceedings
  • © 2019

Advances in Knowledge Discovery and Data Mining

23rd Pacific-Asia Conference, PAKDD 2019, Macau, China, April 14-17, 2019, Proceedings, Part I

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 11439)

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

Conference series link(s): PAKDD: Pacific-Asia Conference on Knowledge Discovery and Data Mining

Conference proceedings info: PAKDD 2019.

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Table of contents (47 papers)

  1. Front Matter

    Pages i-xl
  2. Classification and Supervised Learning

    1. Front Matter

      Pages 1-1
    2. Multitask Learning for Sparse Failure Prediction

      • Simon Luo, Victor W. Chu, Zhidong Li, Yang Wang, Jianlong Zhou, Fang Chen et al.
      Pages 3-14
    3. Cost Sensitive Learning in the Presence of Symmetric Label Noise

      • Sandhya Tripathi, Nandyala Hemachandra
      Pages 15-28
    4. Semantic Explanations in Ensemble Learning

      • Md. Zahidul Islam, Jixue Liu, Lin Liu, Jiuyong Li, Wei Kang
      Pages 29-41
    5. Latent Gaussian-Multinomial Generative Model for Annotated Data

      • Shuoran Jiang, Yarui Chen, Zhifei Qin, Jucheng Yang, Tingting Zhao, Chuanlei Zhang
      Pages 42-54
    6. Investigating Neighborhood Generation Methods for Explanations of Obscure Image Classifiers

      • Riccardo Guidotti, Anna Monreale, Leonardo Cariaggi
      Pages 55-68
    7. On Calibration of Nested Dichotomies

      • Tim Leathart, Eibe Frank, Bernhard Pfahringer, Geoffrey Holmes
      Pages 69-80
    8. Ensembles of Nested Dichotomies with Multiple Subset Evaluation

      • Tim Leathart, Eibe Frank, Bernhard Pfahringer, Geoffrey Holmes
      Pages 81-93
  3. Text and Opinion Mining

    1. Front Matter

      Pages 95-95
    2. Topic-Level Bursty Study for Bursty Topic Detection in Microblogs

      • Yakun Wang, Zhongbao Zhang, Sen Su, Muhammad Azam Zia
      Pages 97-109
    3. Adaptively Transfer Category-Classifier for Handwritten Chinese Character Recognition

      • Yongchun Zhu, Fuzhen Zhuang, Jingyuan Yang, Xi Yang, Qing He
      Pages 110-122
    4. Syntax-Aware Representation for Aspect Term Extraction

      • Jingyuan Zhang, Guangluan Xu, Xinyi Wang, Xian Sun, Tinglei Huang
      Pages 123-134
    5. A Novel Hybrid Sequential Model for Review-Based Rating Prediction

      • Yuanquan Lu, Wei Zhang, Pan Lu, Jianyong Wang
      Pages 148-159
    6. Integrating Topic Model and Heterogeneous Information Network for Aspect Mining with Rating Bias

      • Yugang Ji, Chuan Shi, Fuzhen Zhuang, Philip S. Yu
      Pages 160-171
    7. Dependency-Aware Attention Model for Emotion Analysis for Online News

      • Xue Zhao, Ying Zhang, Xiaojie Yuan
      Pages 172-184
    8. Multi-task Learning for Target-Dependent Sentiment Classification

      • Divam Gupta, Kushagra Singh, Soumen Chakrabarti, Tanmoy Chakraborty
      Pages 185-197
    9. BAB-QA: A New Neural Model for Emotion Detection in Multi-party Dialogue

      • Zilong Wang, Zhaohong Wan, Xiaojun Wan
      Pages 210-221

About this book

The three-volume set LNAI 11439, 11440, and 11441 constitutes the thoroughly refereed proceedings of the 23rd Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2019, held in Macau, China, in April 2019.

The 137 full papers presented were carefully reviewed and selected from 542 submissions. The papers present new ideas, original research results, and practical development experiences from all KDD related areas, including data mining, data warehousing, machine learning, artificial intelligence, databases, statistics, knowledge engineering, visualization, decision-making systems, and the emerging applications. They are organized in the following topical sections: classification and supervised learning; text and opinion mining; spatio-temporal and stream data mining; factor and tensor analysis; healthcare, bioinformatics and related topics; clustering and anomaly detection; deep learning models and applications; sequential pattern mining; weakly supervised learning; recommender system; social network and graph mining; data pre-processing and feature selection; representation learning and embedding; mining unstructured and semi-structured data; behavioral data mining; visual data mining; and knowledge graph and interpretable data mining.


Editors and Affiliations

  • Hong Kong University of Science and Technology, Hong Kong, China

    Qiang Yang

  • Nanjing University, Nanjing, China

    Zhi-Hua Zhou

  • University of Macau, Taipa, Macau, China

    Zhiguo Gong

  • Southeast University, Nanjing, China

    Min-Ling Zhang

  • Nanjing University of Aeronautics and Astronautics, Nanjing, China

    Sheng-Jun Huang

Bibliographic Information

Buy it now

Buying options

eBook USD 69.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 89.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access