dblp: PAKDD 2018 (original) (raw)



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22nd PAKDD 2018: Melbourne, VIC, Australia

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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, P. Balamurugan, 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

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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