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ORCID20. PAKDD 2016: Auckland, New Zealand
- James Bailey, Latifur Khan, Takashi Washio, Gillian Dobbie, Joshua Zhexue Huang, Ruili Wang:
Advances in Knowledge Discovery and Data Mining - 20th Pacific-Asia Conference, PAKDD 2016, Auckland, New Zealand, April 19-22, 2016, Proceedings, Part I. Lecture Notes in Computer Science 9651, Springer 2016, ISBN 978-3-319-31752-6
Classification
- Yongxin Liao, Shenxi Yuan, Jian Chen, Qingyao Wu, Bin Li:
Joint Classification with Heterogeneous Labels Using Random Walk with Dynamic Label Propagation. 3-13 - Yang Lu, Yiu-ming Cheung
, Yuan Yan Tang:
Hybrid Sampling with Bagging for Class Imbalance Learning. 14-26 - Khanh Nguyen, Trung Le, Vu Nguyen, Dinh Q. Phung:
Sparse Adaptive Multi-hyperplane Machine. 27-39 - Qinzhe Zhang, Qin Zhang, Guodong Long, Peng Zhang, Chengqi Zhang:
Exploring Heterogeneous Product Networks for Discovering Collective Marketing Hyping Behavior. 40-51 - Yuxun Zhou, Jae Yeon Baek, Dan Li, Costas J. Spanos:
Optimal Training and Efficient Model Selection for Parameterized Large Margin Learning. 52-64 - Man Yu, Zongxia Xie, Hong Shi, Qinghua Hu:
Locally Weighted Ensemble Learning for Regression. 65-76 - Henrik Linusson, Ulf Johansson, Henrik Boström, Tuve Löfström:
Reliable Confidence Predictions Using Conformal Prediction. 77-88 - Agoritsa Polyzou, George Karypis:
Grade Prediction with Course and Student Specific Models. 89-101 - Tinu Theckel Joy, Santu Rana, Sunil Kumar Gupta, Svetha Venkatesh:
Flexible Transfer Learning Framework for Bayesian Optimisation. 102-114 - Sheng-Chi You, Hsuan-Tien Lin:
A Simple Unlearning Framework for Online Learning Under Concept Drifts. 115-126 - Jianping Cao, Senzhang Wang, Fengcai Qiao, Hui Wang, Feiyue Wang, Philip S. Yu:
User-Guided Large Attributed Graph Clustering with Multiple Sparse Annotations. 127-138 - Mahtab Jahanbani Fard, Sanjay Chawla, Chandan K. Reddy:
Early-Stage Event Prediction for Longitudinal Data. 139-151 - Cheng Li, Sunil Gupta, Santu Rana, Wei Luo, Svetha Venkatesh, David Ashely, Dinh Q. Phung:
Toxicity Prediction in Cancer Using Multiple Instance Learning in a Multi-task Framework. 152-164 - Hanhe Lin, Jeremiah D. Deng, Brendon J. Woodford:
Shot Boundary Detection Using Multi-instance Incremental and Decremental One-Class Support Vector Machine. 165-176 - Hsun-Ping Hsieh, Rui Yan, Cheng-Te Li:
Will I Win Your Favor? Predicting the Success of Altruistic Requests. 177-188
Feature Extraction and Pattern Mining
- Zhiyang Xiang, Zhu Xiao, Yourong Huang, Dong Wang, Bin Fu, Wenjie Chen:
Unsupervised and Semi-supervised Dimensionality Reduction with Self-Organizing Incremental Neural Network and Graph Similarity Constraints. 191-202 - Wei Wu, Bin Li, Ling Chen, Chengqi Zhang:
Cross-View Feature Hashing for Image Retrieval. 203-214 - Fábio Pinto, Carlos Soares, João Mendes-Moreira:
Towards Automatic Generation of Metafeatures. 215-226 - Jinma Guo, Shifeng Zhang, Jianmin Li:
Hash Learning with Convolutional Neural Networks for Semantic Based Image Retrieval. 227-238 - Changde Du, Changying Du, Shandian Zhe, Ali Luo, Qing He, Guoping Long:
Bayesian Group Feature Selection for Support Vector Learning Machines. 239-252 - Amin Aghaee, Mehrdad Ghadiri, Mahdieh Soleymani Baghshah:
Active Distance-Based Clustering Using K-Medoids. 253-264 - A. Ibrahim, P. S. Sastry, Shivakumar Sastry:
Analyzing Similarities of Datasets Using a Pattern Set Kernel. 265-276 - Aika Terada, David duVerle, Koji Tsuda:
Significant Pattern Mining with Confounding Variables. 277-289 - Pankaj Singh, Ashish Kulkarni, Himanshu Ojha, Vishwajeet Kumar, Ganesh Ramakrishnan:
Building Compact Lexicons for Cross-Domain SMT by Mining Near-Optimal Pattern Sets. 290-303 - Md. Nasim Adnan, Md Zahidul Islam:
Forest CERN: A New Decision Forest Building Technique. 304-315 - Yuan Zou, Teemu Roos:
Sparse Logistic Regression with Logical Features. 316-327 - Jörg Wicker, Andrey Tyukin, Stefan Kramer:
A Nonlinear Label Compression and Transformation Method for Multi-label Classification Using Autoencoders. 328-340 - Nayyar Abbas Zaidi, François Petitjean, Geoffrey I. Webb:
Preconditioning an Artificial Neural Network Using Naive Bayes. 341-353 - Bilong Shen, Zhaoduo Wen, Ying Zhao, Dongliang Zhou, Weimin Zheng:
OCEAN: Fast Discovery of High Utility Occupancy Itemsets. 354-365
Graph and Network Data
- Minh Luan Nguyen:
Leveraging Emotional Consistency for Semi-supervised Sentiment Classification. 369-381 - Laurence Anthony F. Park, Glenn Stone:
The Effect on Accuracy of Tweet Sample Size for Hashtag Segmentation Dictionary Construction. 382-394 - Yuxiang Zhang, Lulu Wang, Xiaoli Li, Chunjing Xiao:
Social Identity Link Across Incomplete Social Information Sources Using Anchor Link Expansion. 395-408 - Sanjay Chawla, Kiran Garimella, Aristides Gionis, Dominic Tsang:
Discovering the Network Backbone from Traffic Activity Data. 409-422 - Hongjie Zhai, Makoto Haraguchi, Yoshiaki Okubo, Etsuji Tomita:
A Fast and Complete Enumeration of Pseudo-Cliques for Large Graphs. 423-435 - Yao Wan, Liang Chen, Qi Yu, Tingting Liang, Jian Wu:
Incorporating Heterogeneous Information for Mashup Discovery with Consistent Regularization. 436-448 - Xiaohuan Cao, Yuyan Zheng, Chuan Shi, Jingzhi Li, Bin Wu:
Link Prediction in Schema-Rich Heterogeneous Information Network. 449-460 - Miguel Araujo, Pedro Manuel Pinto Ribeiro, Christos Faloutsos:
FastStep: Scalable Boolean Matrix Decomposition. 461-473
Applications
- Xuan Guo, Qi Yu, Rui Li, Cecilia Ovesdotter Alm, Cara Calvelli, Pengcheng Shi, Anne R. Haake:
An Expert-in-the-loop Paradigm for Learning Medical Image Grouping. 477-488 - Manish Gupta, Prashant Gupta, Pravin K. Vaddavalli, Asra Fatima:
Predicting Post-operative Visual Acuity for LASIK Surgeries. 489-501 - Yunhui Guo, Xin Wang, Congfu Xu:
LBMF: Log-Bilinear Matrix Factorization for Recommender Systems. 502-513 - Sunhwan Lee, Anca Chandra, Divyesh Jadav:
An Empirical Study on Hybrid Recommender System with Implicit Feedback. 514-526 - Ling Luo, Bin Li, Shlomo Berkovsky, Irena Koprinska, Fang Chen:
Who Will Be Affected by Supermarket Health Programs? Tracking Customer Behavior Changes via Preference Modeling. 527-539 - Hoang Nguyen, Wei Liu, Paul Rivera, Fang Chen:
TrafficWatch: Real-Time Traffic Incident Detection and Monitoring Using Social Media. 540-551 - Jihed Khiari, Luís Moreira-Matias, Vítor Cerqueira, Oded Cats:
Automated Setting of Bus Schedule Coverage Using Unsupervised Machine Learning. 552-564 - Mojgan Ghanavati, Raymond K. Wong, Fang Chen, Yang Wang, Simon Fong:
Effective Local Metric Learning for Water Pipe Assessment. 565-577 - Sanad Al-Maskari, Eve Bélisle, Xue Li, Sébastien Le Digabel, Amin Nawahda, Jiang Zhong:
Classification with Quantification for Air Quality Monitoring. 578-590 - Qing Liao, Naiyang Guan, Chengkun Wu, Qian Zhang:
Predicting Unknown Interactions Between Known Drugs and Targets via Matrix Completion. 591-604
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