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ORCID22nd PAKDD 2018: Melbourne, VIC, Australia
- Mohadeseh Ganji, Lida Rashidi, Benjamin C. M. Fung, Can Wang:
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. Lecture Notes in Computer Science 11154, Springer 2018, ISBN 978-3-030-04502-9
Big Data Analytics for Social Computing (BDASC)
- Senuri Wijenayake
, Timothy Graham, Peter Christen:
A Decision Tree Approach to Predicting Recidivism in Domestic Violence. 3-15 - Zhun Zhong, Zongmin Li, Runlin Li, Xiaoxia Sun:
Unsupervised Domain Adaptation Dictionary Learning for Visual Recognition. 16-26 - Liang Zheng, Yali Zhao, Shengjin Wang, Jingdong Wang, Yi Yang, Qi Tian:
On the Large-Scale Transferability of Convolutional Neural Networks. 27-39 - Tong Chen, Xue Li, Hongzhi Yin, Jun Zhang:
Call Attention to Rumors: Deep Attention Based Recurrent Neural Networks for Early Rumor Detection. 40-52 - Md Shahzamal, Raja Jurdak, Bernard Mans, Ahmad El Shoghri, Frank de Hoog:
Impact of Indirect Contacts in Emerging Infectious Disease on Social Networks. 53-65 - Ibrahim A. Ibrahim, Abdulqader M. Almars, Suresh Pokharel, Xin Zhao, Xue Li:
Interesting Recommendations Based on Hierarchical Visualizations of Medical Data. 66-79 - Chengyuan Zhang, Lei Zhu, Weiren Yu, Jun Long, Fang Huang, Hongbo Zhao:
Efficient Top K Temporal Spatial Keyword Search. 80-92 - Jun Long, Lei Zhu, Chengyuan Zhang, Shuangqiao Lin, Zhan Yang, Xinpan Yuan:
HOC-Tree: A Novel Index for Efficient Spatio-Temporal Range Search. 93-107 - Chengyuan Zhang, Lei Zhu, Jun Long, Shuangqiao Lin, Zhan Yang, Wenti Huang:
A Hybrid Index Model for Efficient Spatio-Temporal Search in HBase. 108-120 - Tong Chen, Hongxu Chen, Xue Li:
Rumor Detection via Recurrent Neural Networks: A Case Study on Adaptivity with Varied Data Compositions. 121-127 - Meng Xu, Jiajun Cheng, Lixiang Guo, Pei Li, Xin Zhang, Hui Wang:
TwiTracker: Detecting and Extracting Events from Twitter for Entity Tracking. 128-134
Australasian Workshop on Machine Learning for Cyber-Security (ML4Cyber)
- Omaru Maruatona, Peter Vamplew, Richard Dazeley, Paul A. Watters:
Rapid Anomaly Detection Using Integrated Prudence Analysis (IPA). 137-141 - Lefeng Zhang, Ping Xiong, Tianqing Zhu:
A Differentially Private Method for Crowdsourcing Data Submission. 142-148 - Ansam Khraisat, Iqbal Gondal, Peter Vamplew:
An Anomaly Intrusion Detection System Using C5 Decision Tree Classifier. 149-155 - Kyle Millar, Adriel Cheng, Hong Gunn Chew, Cheng-Chew Lim:
Deep Learning for Classifying Malicious Network Traffic. 156-161 - Md. Moniruzzaman, Adil M. Bagirov, Iqbal Gondal, Simon Brown:
A Server Side Solution for Detecting WebInject: A Machine Learning Approach. 162-167 - Boxiao Pan, Dongfeng Yuan, Weiwei Sun, Cong Liang, Dongyang Li:
A Novel LSTM-Based Daily Airline Demand Forecasting Method Using Vertical and Horizontal Time Series. 168-173 - Hao Chen, Jun Liu, Yanzhang Lv:
A Transfer Metric Learning Method for Spammer Detection. 174-180 - Jayson Pryde, Nestle Angeles, Sheryl Kareen Carinan:
Dynamic Whitelisting Using Locality Sensitive Hashing. 181-185 - Takuya Kuwahara, Yukino Baba, Hisashi Kashima, Takeshi Kishikawa, Jun'ichi Tsurumi, Tomoyuki Haga, Yoshihiro Ujiie, Takamitsu Sasaki, Hideki Matsushima:
Payload-Based Statistical Intrusion Detection for In-Vehicle Networks. 186-192
Biologically-Inspired Techniques for Knowledge Discovery and Data Mining (BDM)
- Youcef Djenouri, Asma Belhadi, Philippe Fournier-Viger, Jerry Chun-Wei Lin:
Discovering Strong Meta Association Rules Using Bees Swarm Optimization. 195-206 - Thuc Duy Le, Taosheng Xu, Lin Liu, Hu Shu, Tao Hoang, Jiuyong Li:
ParallelPC: An R Package for Efficient Causal Exploration in Genomic Data. 207-218 - Yiqing Zhang, Yimeng Dai, Jianzhong Qi, Xinxing Xu, Rui Zhang:
Citation Field Learning by RNN with Limited Training Data. 219-232 - Runkun Lu, Jianwei Liu, Siming Lian, Xin Zuo:
Affine Transformation Capsule Net. 233-242 - Huan Phan, Bac Le:
A Novel Algorithm for Frequent Itemsets Mining in Transactional Databases. 243-255 - Abdul Rauf Khan, Henrik Schiøler, Mohamed Zaki, Murat Kulahci:
Rare-Events Classification: An Approach Based on Genetic Algorithm and Voronoi Tessellation. 256-266 - Jie Jiang, Yu-Lin He, Joshua Zhexue Huang:
Particle Swarm Optimization-Based Weighted-Nadaraya-Watson Estimator. 267-279
Pacific Asia Workshop on Intelligence and Security Informatics (PAISI)
- Sikha Bagui, Sharon K. John, John P. Baggs, Subhash C. Bagui:
A Parallel Implementation of Information Gain Using Hive in Conjunction with MapReduce for Continuous Features. 283-294 - Qing Zhou, Fenglu Liao, Chao Mou, Ping Wang:
Measuring Interpretability for Different Types of Machine Learning Models. 295-308 - Philip T. Y. Lee:
In Search of Public Agenda with Text Mining: An Exploratory Study of Agenda Setting Dynamics Between the Traditional Media and Wikipedia. 309-317 - Paul A. Watters:
Modelling the Efficacy of Auto-Internet Warnings to Reduce Demand for Child Exploitation Materials. 318-329
Data Mining for Energy Modeling and Optimization (DaMEMO)
- Mashud Rana, Ashfaqur Rahman, Liwan H. Liyanage, Mohammed Nazim Uddin:
Comparison and Sensitivity Analysis of Methods for Solar PV Power Prediction. 333-344 - Sean Hsin-Shyuan Lee, Jeremiah D. Deng, Martin K. Purvis, Maryam Purvis, Lizhi Peng:
An Improved PBIL Algorithm for Optimal Coalition Structure Generation of Smart Grids. 345-356 - Yasuno Takato:
Dam Inflow Time Series Regression Models Minimising Loss of Hydropower Opportunities. 357-367
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