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ORCID22nd PAKDD 2018: Melbourne, VIC, Australia
- Dinh Q. Phung, Vincent S. Tseng, Geoffrey I. Webb, Bao Ho, Mohadeseh Ganji, Lida Rashidi:
Advances in Knowledge Discovery and Data Mining - 22nd Pacific-Asia Conference, PAKDD 2018, Melbourne, VIC, Australia, June 3-6, 2018, Proceedings, Part I. Lecture Notes in Computer Science 10937, Springer 2018, ISBN 978-3-319-93033-6
Classification and Supervised Machine Learning
- Anurag Kumar, Bhiksha Raj:
Classifier Risk Estimation Under Limited Labeling Resources. 3-15 - Xin Mu, Feida Zhu
, Yue Liu, Ee-Peng Lim, Zhi-Hua Zhou:
Social Stream Classification with Emerging New Labels. 16-28 - Michael Rapp, Eneldo Loza Mencía, Johannes Fürnkranz:
Exploiting Anti-monotonicity of Multi-label Evaluation Measures for Inducing Multi-label Rules. 29-42 - Anusha Kasinikota, Balamurugan Palaniappan, Shirish K. Shevade:
Modeling Label Interactions in Multi-label Classification: A Multi-structure SVM Perspective. 43-55 - Maoquan Wang, Shiyun Chen, Liang He:
Sentiment Classification Using Neural Networks with Sentiment Centroids. 56-67 - Mohan Shi, Zhihai Wang, Jidong Yuan, Haiyang Liu:
Random Pairwise Shapelets Forest. 68-80 - Dengbao Wang, Jingyuan Wang, Fei Hu, Li Li, Xiuzhen Zhang:
A Locally Adaptive Multi-Label k-Nearest Neighbor Algorithm. 81-93 - Henrik Linusson, Ulf Johansson, Henrik Boström, Tuve Löfström:
Classification with Reject Option Using Conformal Prediction. 94-105 - Limin Wang, Shenglei Chen, Musa Mammadov:
Target Learning: A Novel Framework to Mine Significant Dependencies for Unlabeled Data. 106-117 - Yuwei Huang, Xi Yang, Fuzhen Zhuang, Lishan Zhang, Shengquan Yu:
Automatic Chinese Reading Comprehension Grading by LSTM with Knowledge Adaptation. 118-129 - Yan Zhou, Yasmeen Alufaisan, Murat Kantarcioglu:
Data Mining with Algorithmic Transparency. 130-142 - Yao-Yuan Yang, Kuan-Hao Huang, Chih-Wei Chang, Hsuan-Tien Lin:
Cost-Sensitive Reference Pair Encoding for Multi-Label Learning. 143-155 - Dalin Zhang, Lina Yao, Sen Wang, Kaixuan Chen, Zheng Yang, Boualem Benatallah:
Fuzzy Integral Optimization with Deep Q-Network for EEG-Based Intention Recognition. 156-168 - Firat Ismailoglu, Evgueni N. Smirnov, Ralf Peeters, Shuang Zhou, Pieter Collins:
Heterogeneous Domain Adaptation Based on Class Decomposition Schemes. 169-182 - Buru Chang, Hyunjae Kim, Raehyun Kim, Deahan Kim, Jaewoo Kang:
A Deep Neural Spoiler Detection Model Using a Genre-Aware Attention Mechanism. 183-195 - Junting Ye, Leman Akoglu:
Robust Semi-Supervised Learning on Multiple Networks with Noise. 196-208 - Ge Ou, Yan Wang, Lan Huang, Wei Pang, George Macleod Coghill:
ε-Distance Weighted Support Vector Regression. 209-220
Healthcare, BioInformatics and Related Topics (Application)
- Jianjia Zhang, Bin Li, Xuhui Fan, Yang Wang, Fang Chen:
Corrosion Prediction on Sewer Networks with Sparse Monitoring Sites: A Case Study. 223-235 - Jingyue Gao, Yasha Wang, Xu Chu, Yuanduo He, Ziqing Mao:
CAPED: Context-Aware Powerlet-Based Energy Disaggregation. 236-247 - Di Zhang, Yunquan Zhang, Qiang Niu, Xingbao Qiu:
Rolling Forecasting Forward by Boosting Heterogeneous Kernels. 248-260 - Yaogong Zhang, Yuan Wang, Jiahui Liu, Xiaohu Liu, Yuxiang Hong, Xin Fan, Yalou Huang:
IDLP: A Novel Label Propagation Framework for Disease Gene Prioritization. 261-272 - Masaya Abe, Hideki Nakayama:
Deep Learning for Forecasting Stock Returns in the Cross-Section. 273-284 - Jia Xu, Longbing Cao:
Vine Copula-Based Asymmetry and Tail Dependence Modeling. 285-297 - James Large, E. Kate Kemsley, Nikolaus Wellner, Ian Goodall, Anthony J. Bagnall:
Detecting Forged Alcohol Non-invasively Through Vibrational Spectroscopy and Machine Learning. 298-309 - Wanwan Jiang, Lingyu Xu, Jie Yu, Gaowei Zhang:
Research and Application of Mapping Relationship Based on Learning Attention Mechanism. 310-321 - Jie Yin, Son N. Tran, Qing Zhang:
Human Identification via Unsupervised Feature Learning from UWB Radar Data. 322-334 - Haripriya Harikumar, Santu Rana, Sunil Gupta, Thin Nguyen, Ramachandra Kaimal, Svetha Venkatesh:
Prescriptive Analytics Through Constrained Bayesian Optimization. 335-347 - Xin Fan, YuXiang Hong, Xiaohu Liu, Yaogong Zhang, Maoqiang Xie:
Neighborhood Constraint Matrix Completion for Drug-Target Interaction Prediction. 348-360 - Stephen McCloskey, Rim Haidar, Irena Koprinska, Bryn Jeffries:
Detecting Hypopnea and Obstructive Apnea Events Using Convolutional Neural Networks on Wavelet Spectrograms of Nasal Airflow. 361-372 - Yuzhou Chen, Yulia R. Gel, Vyacheslav Lyubchich, Todd Winship:
Deep Ensemble Classifiers and Peer Effects Analysis for Churn Forecasting in Retail Banking. 373-385 - Subhendu Khatuya, Ajay Bakhshi, Jayanta Basak, Niloy Ganguly, Bivas Mitra:
GBTM: Graph Based Troubleshooting Method for Handling Customer Cases Using Storage System Log. 386-398 - Fu-Chun Hsu, Chih-Chieh Hung:
Fusion of Modern and Tradition: A Multi-stage-Based Deep Network Approach for Head Detection. 399-410 - Khanh Hung Hoang, Tu Bao Ho:
Learning Treatment Regimens from Electronic Medical Records. 411-422
Human, Behaviour and Interactions (Application)
- Yihong Zhang, Lina Yao:
Mining POI Alias from Microblog Conversations. 425-436 - Prerna Agarwal, Richa Verma, Ayush Agarwal, Tanmoy Chakraborty:
DyPerm: Maximizing Permanence for Dynamic Community Detection. 437-449 - Iqbal H. Sarker, Flora D. Salim:
Mining User Behavioral Rules from Smartphone Data Through Association Analysis. 450-461 - Yikai Zhai, Tianyu Wo, Xuelian Lin, Zhou Huang, Junyu Chen:
A Context-Aware Evaluation Method of Driving Behavior. 462-474 - Deepali Jain, Atanu R. Sinha, Deepali Gupta, Nikhil Sheoran, Sopan Khosla:
Measurement of Users' Experience on Online Platforms from Their Behavior Logs. 475-487 - Feng Yi, Libo Yin, Hui Wen, Hongsong Zhu, Limin Sun, Gang Li:
Mining Human Periodic Behaviors Using Mobility Intention and Relative Entropy. 488-499 - Chuandong Yin, Rui Zhang, Jianzhong Qi, Yu Sun, Tenglun Tan:
Context-Uncertainty-Aware Chatbot Action Selection via Parameterized Auxiliary Reinforcement Learning. 500-512 - Zhao Zhang, Weizheng Chen, Xiaoxuan Ren, Yan Zhang:
Learning Product Embedding from Multi-relational User Behavior. 513-524 - Jun Pu, Chuanren Liu, Jianghua Zhao, Ke Han, Yuanchun Zhou:
Vulnerability Assessment of Metro Systems Based on Dynamic Network Structure. 525-537 - Zhichao Li, Yuping Han, Yajing Xu, Sheng Gao:
Visual Relation Extraction via Multi-modal Translation Embedding Based Model. 538-548
Anomaly Detection and Analytics
- Zhihua Zhu, Di Yao, Jianhui Huang, Hanqiang Li, Jingping Bi:
Sub-trajectory- and Trajectory-Neighbor-based Outlier Detection over Trajectory Streams. 551-563 - Guilherme Oliveira Campos, Arthur Zimek, Wagner Meira Jr.:
An Unsupervised Boosting Strategy for Outlier Detection Ensembles. 564-576 - Teodora Sandra Buda, Bora Caglayan, Haytham Assem:
DeepAD: A Generic Framework Based on Deep Learning for Time Series Anomaly Detection. 577-588 - Sunil Aryal:
Anomaly Detection Technique Robust to Units and Scales of Measurement. 589-601 - Ibrahim A. Ibrahim, Xue Li, Xin Zhao, Sanad Al-Maskari, Abdullah M. Albarrak, Yanjun Zhang:
Automated Explanations of User-Expected Trends for Aggregate Queries. 602-614 - Jun Yin, Zili Zhou, Shaowu Liu, Zhiang Wu, Guandong Xu:
Social Spammer Detection: A Multi-Relational Embedding Approach. 615-627
Opinion Mining and Sentiment Analysis
- Yassien Shaalan, Xiuzhen Zhang, Jeffrey Chan:
Learning to Rank Items of Minimal Reviews Using Weak Supervision. 631-643 - Nhi N. Y. Vo, Shaowu Liu, Xuezhong He, Guandong Xu:
Multimodal Mixture Density Boosting Network for Personality Mining. 644-655 - Dheeraj Kumar, Yassien Shaalan, Xiuzhen Zhang, Jeffrey Chan:
Identifying Singleton Spammers via Spammer Group Detection. 656-667 - Chuantao Zong, Wenfeng Feng, Vincent W. Zheng, Hankz Hankui Zhuo:
Adaptive Attention Network for Review Sentiment Classification. 668-680 - Jinlong Ji, Changqing Luo, Xuhui Chen, Lixing Yu, Pan Li:
Cross-Domain Sentiment Classification via a Bifurcated-LSTM. 681-693
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