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Trends and Applications in Knowledge Discovery and Data Mining

PAKDD 2017 Workshops, MLSDA, BDM, DM-BPM Jeju, South Korea, May 23, 2017, Revised Selected Papers

  • Conference proceedings
  • © 2017

Overview

Editors:
  1. U Kang

    1. Seoul National University, Seoul, Korea (Republic of)

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  2. Ee-Peng Lim

    1. School of Information Systems, Singapore Management University, Singapore, Singapore

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  3. Jeffrey Xu Yu

    1. Chinese University of Hong Kong, Hong Kong, China

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  4. Yang-Sae Moon

    1. Kangwon National University, Chuncheon, Korea (Republic of)

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 10526)

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

Included in the following conference series:

Conference proceedings info: PAKDD 2017.

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Table of contents (17 papers)

  1. Front Matter

    Pages I-XIV
    Download chapter PDF

  2. MLSDA

    1. Front Matter

      Pages 1-1
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    2. Early Classification of Multivariate Time Series on Distributed and In-Memory Platforms

      • Vincent S. Tseng, Huai-Shuo Huang, Chia-Wei Huang, Ping-Feng Wang, Chu-Feng Li
      Pages 3-14

    3. Behavior Classification of Dairy Cows Fitted with GPS Collars

      • Robert Dunne, Dave Henry, Richard Rawnsley, Ashfaqur Rahman
      Pages 15-25

    4. Dynamic Real-Time Segmentation and Recognition of Activities Using a Multi-feature Windowing Approach

      • Ahmad Shahi, Brendon J. Woodford, Hanhe Lin
      Pages 26-38

    5. Feature Extraction from EEG Data for a P300 Based Brain-Computer Interface

      • Ali Hajian, Suet-Peng Yong
      Pages 39-50

    6. Thermal Stratification Prediction at Lake Trevallyn

      • Ashfaqur Rahman, Philip Smethurst, Michael Attard, Rob Dunne
      Pages 51-55

  3. BDM

    1. Front Matter

      Pages 57-57
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    2. Development of a Software Vulnerability Prediction Web Service Based on Artificial Neural Networks

      • Cagatay Catal, Akhan Akbulut, Ecem Ekenoglu, Meltem Alemdaroglu
      Pages 59-67

    3. Diversification Heuristics in Bees Swarm Optimization for Association Rules Mining

      • Youcef Djenouri, Zineb Habbas, Djamel Djenouri, Marco Comuzzi
      Pages 68-78

    4. Improved CFDP Algorithms Based on Shared Nearest Neighbors and Transitive Closure

      • Li Ni, Wenjian Luo, Chenyang Bu, Yamin Hu
      Pages 79-93

    5. CNN-Based Sequence Labeling for Fine-Grained Opinion Mining of Microblogs

      • Jiajun Cheng, Pei Li, Xin Zhang, Zhaoyun Ding, Hui Wang
      Pages 94-103

    6. A Genetic Algorithm for Interpretable Model Extraction from Decision Tree Ensembles

      • Gilles Vandewiele, Kiani Lannoye, Olivier Janssens, Femke Ongenae, Filip De Turck, Sofie Van Hoecke
      Pages 104-115

    7. Self-adaptive Weighted Extreme Learning Machine for Imbalanced Classification Problems

      • Hao Long, Yulin He, Joshua Zhexue Huang, Qiang Wang
      Pages 116-128

    8. Estimating Word Probabilities with Neural Networks in Latent Dirichlet Allocation

      • Tomonari Masada
      Pages 129-137

    9. GA-Apriori: Combining Apriori Heuristic and Genetic Algorithms for Solving the Frequent Itemsets Mining Problem

      • Youcef Djenouri, Marco Comuzzi
      Pages 138-148

  4. DM-BPM

    1. Front Matter

      Pages 149-149
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    2. Shelf Time Analysis in CTP Insurance Claims Processing

      • Robert Andrews, Moe Wynn
      Pages 151-162

    3. Automated Product-Attribute Mapping

      • Karamjit Singh, Garima Gupta, Gautam Shroff, Puneet Agarwal
      Pages 163-175

    4. A Novel Extreme Learning Machine-Based Classification Algorithm for Uncertain Data

      • Xianchao Zhang, Daoyuan Sun, Yuangang Li, Han Liu, Wenxin Liang
      Pages 176-188
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Other volumes

  1. Advances in Knowledge Discovery and Data Mining

  2. Advances in Knowledge Discovery and Data Mining

  3. Trends and Applications in Knowledge Discovery and Data Mining

Keywords

About this book

This book constitutes the thoroughly refereed post-workshop proceedings at PAKDD Workshops 2017, held in conjunction with PAKDD, the 21st Pacific-Asia Conference on Knowledge Discovery and Data Mining in May 2017 in Jeju, South Korea. The 17 revised papers presented were carefully reviewed and selected from 38 submissions. The workshops affiliated with PAKDD 2017 include: Workshop on Machine Learning for Sensory Data Analysis (MLSDA), Workshop on Biologically Inspired Data Mining Techniques (BDM), Pacific Asia Workshop on Intelligence and Security Informatics (PAISI), and Workshop on Data Mining in Business Process Management (DM-BPM).

Editors and Affiliations

  • Seoul National University, Seoul, Korea (Republic of)

    U Kang

  • School of Information Systems, Singapore Management University, Singapore, Singapore

    Ee-Peng Lim

  • Chinese University of Hong Kong, Hong Kong, China

    Jeffrey Xu Yu

  • Kangwon National University, Chuncheon, Korea (Republic of)

    Yang-Sae Moon

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