Skip to main content
SpringerLink
Log in
Book cover

Trends and Applications in Knowledge Discovery and Data Mining

PAKDD 2018 Workshops, BDASC, BDM, ML4Cyber, PAISI, DaMEMO, Melbourne, VIC, Australia, June 3, 2018, Revised Selected Papers

  • Conference proceedings
  • © 2018

Overview

Editors:
  1. Mohadeseh Ganji

    1. University of Melbourne, Melbourne, Australia

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  2. Lida Rashidi

    1. University of Melbourne, Melbourne, Australia

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  3. Benjamin C. M. Fung

    1. McGill University, Montreal, Canada

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  4. Can Wang

    1. Griffith University, Gold Coast, Australia

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 11154)

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

Included in the following conference series:

Conference proceedings info: PAKDD 2018.

This is a preview of subscription content, log in via an institution to check access.

Access this book

Log in via an institution
eBook USD 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 54.99
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

Licence this eBook for your library

Institutional subscriptions

Table of contents (34 papers)

  1. Front Matter

    Pages I-XX
    Download chapter PDF

  2. Big Data Analytics for Social Computing (BDASC)

    1. Front Matter

      Pages 1-1
      Download chapter PDF

    2. A Decision Tree Approach to Predicting Recidivism in Domestic Violence

      • Senuri Wijenayake, Timothy Graham, Peter Christen
      Pages 3-15

    3. Unsupervised Domain Adaptation Dictionary Learning for Visual Recognition

      • Zhun Zhong, Zongmin Li, Runlin Li, Xiaoxia Sun
      Pages 16-26

    4. On the Large-Scale Transferability of Convolutional Neural Networks

      • Liang Zheng, Yali Zhao, Shengjin Wang, Jingdong Wang, Yi Yang, Qi Tian
      Pages 27-39

    5. Call Attention to Rumors: Deep Attention Based Recurrent Neural Networks for Early Rumor Detection

      • Tong Chen, Xue Li, Hongzhi Yin, Jun Zhang
      Pages 40-52

    6. Impact of Indirect Contacts in Emerging Infectious Disease on Social Networks

      • Md Shahzamal, Raja Jurdak, Bernard Mans, Ahmad El Shoghri, Frank De Hoog
      Pages 53-65

    7. Interesting Recommendations Based on Hierarchical Visualizations of Medical Data

      • Ibrahim A. Ibrahim, Abdulqader M. Almars, Suresh Pokharel, Xin Zhao, Xue Li
      Pages 66-79

    8. Efficient Top K Temporal Spatial Keyword Search

      • Chengyuan Zhang, Lei Zhu, Weiren Yu, Jun Long, Fang Huang, Hongbo Zhao
      Pages 80-92

    9. HOC-Tree: A Novel Index for Efficient Spatio-Temporal Range Search

      • Jun Long, Lei Zhu, Chengyuan Zhang, Shuangqiao Lin, Zhan Yang, Xinpan Yuan
      Pages 93-107

    10. A Hybrid Index Model for Efficient Spatio-Temporal Search in HBase

      • Chengyuan Zhang, Lei Zhu, Jun Long, Shuangqiao Lin, Zhan Yang, Wenti Huang
      Pages 108-120

    11. Rumor Detection via Recurrent Neural Networks: A Case Study on Adaptivity with Varied Data Compositions

      • Tong Chen, Hongxu Chen, Xue Li
      Pages 121-127

    12. TwiTracker: Detecting and Extracting Events from Twitter for Entity Tracking

      • Meng Xu, Jiajun Cheng, Lixiang Guo, Pei Li, Xin Zhang, Hui Wang
      Pages 128-134

  3. Australasian Workshop on Machine Learning for Cyber-Security (ML4Cyber)

    1. Front Matter

      Pages 135-135
      Download chapter PDF

    2. Rapid Anomaly Detection Using Integrated Prudence Analysis (IPA)

      • Omaru Maruatona, Peter Vamplew, Richard Dazeley, Paul A. Watters
      Pages 137-141

    3. A Differentially Private Method for Crowdsourcing Data Submission

      • Lefeng Zhang, Ping Xiong, Tianqing Zhu
      Pages 142-148

    4. An Anomaly Intrusion Detection System Using C5 Decision Tree Classifier

      • Ansam Khraisat, Iqbal Gondal, Peter Vamplew
      Pages 149-155

    5. Deep Learning for Classifying Malicious Network Traffic

      • K. Millar, A. Cheng, H. G. Chew, C.-C. Lim
      Pages 156-161

    6. A Server Side Solution for Detecting WebInject: A Machine Learning Approach

      • Md. Moniruzzaman, Adil Bagirov, Iqbal Gondal, Simon Brown
      Pages 162-167

    7. A Novel LSTM-Based Daily Airline Demand Forecasting Method Using Vertical and Horizontal Time Series

      • Boxiao Pan, Dongfeng Yuan, Weiwei Sun, Cong Liang, Dongyang Li
      Pages 168-173
Back to top

Other volumes

  1. Advances in Knowledge Discovery and Data Mining

  2. Advances in Knowledge Discovery and Data Mining

  3. Advances in Knowledge Discovery and Data Mining

  4. 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 2018, held in conjunction with the 22nd Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2018, in Melbourne, Australia, in June 2018.

The 32 revised papers presented were carefully reviewed and selected from 46 submissions. The workshops affiliated with PAKDD 2018 include: Workshop on Big Data Analytics for Social Computing, BDASC, Australasian Workshop on Machine Learning for Cyber-security, ML4Cyber, Workshop on Biologically-inspired Techniques for Knowledge Discovery and Data Mining, BDM, Pacific Asia Workshop on Intelligence and Security Informatics, PAISI, and Workshop on Data Mining for Energy Modeling and Optimization, DaMEMO.

Editors and Affiliations

  • University of Melbourne, Melbourne, Australia

    Mohadeseh Ganji, Lida Rashidi

  • McGill University, Montreal, Canada

    Benjamin C. M. Fung

  • Griffith University, Gold Coast, Australia

    Can Wang

Bibliographic Information

Publish with us

Policies and ethics

Back to top

Search

Navigation