Program Overview

Proceedings of PAKDD 2016 (LNAI 9651 – 9652) are now available online, please use the links below to access the proceedings:

Workshop and Tutorial Day
April 19, 2016 (Tuesday)
08:00 – 08:30 Registration 
Basement Foyer
08:30 – 10:00 PAISI 
Tutorial 3
Tutorial 4
10:00 – 10:30 Coffee Break 
Ground Floor and Basement Foyers
10:30 – 12:30 PAISI 
Tutorial 3
Tutorial 4
12:30 – 13:30 Lunch Break 
Four Seasons (Directions)
13:30 – 15:00 PAISI 
Tutorial 1
Tutorial 2
Tutorial 5
15:00 – 15:30 Coffee Break 
Ground Floor and Basement Foyers
15:30 – 18:00 PAISI 
Tutorial 1
Tutorial 2
Tutorial 5
18:00 – 19:00 Reception 
Old Government House

Tutorial 1: Medical Mining
Tutorial 2: Population Informatics using Big Data
Tutorial 3: Deep Learning Implementations and Frameworks
Tutorial 4: Geo-Social Media Analytics
Tutorial 5: Succinct Data Structure for Scalable Knowledge Discoveries


Main Conference
April 20, 2016 (Wednesday)
08:00 – 08:30 Registration 
Basement Foyer
08:30 – 09:00 Conference Opening 
09:00 – 10:00 Keynote Talk I by Prof. Naren Ramakrishnan 
10:00 – 10:20 Coffee Break 
Ground Floor and Basement Foyers
10:20 – 12:30 Session 1A 
Session 1B
Session 1C
Session 1D
12:30 – 14:00 Lunch Break 
Four Seasons (Directions)
14:00 – 15:30 Session 2A 
Session 2B
Session 2C
Session 2D
15:30 – 16:00 Coffee Break 
Ground Floor and Basement Foyers
April 21, 2016 (Thursday) 
08:30 – 09:00 Registration 
09:00 – 10:00 Keynote Talk II by Prof. Svetha Venkatesh
10:00 – 10:20 Coffee Break 
Ground Floor and Basement Foyers
10:20 – 12:30 Session 3A
Session 3B
Session 3C
12:30 – 13:30 Lunch Break 
Four Seasons (Directions)
13:30 – 18:00 Excursion 
18:00 – Banquet
April 22, 2016 (Friday) 
09:00 – 10:00 Keynote Talk II by Assoc-Prof. Mark Sagar
10:00 – 10:20 Coffee Break 
Ground Floor and Basement Foyers
10:20 – 12:30 Session 4A
Session 4B
Session 4C
Session 4D
12:30 – 14:00 Lunch Break 
Ground Floor and Basement Foyers
14:00 – 16:20 Session 5A
Session 5B
Session 5C
Session 5D
16:20 – 16:40 Closing Ceremony 


Section 1A : Classification Methods (Chair: Atsunori Kanemura)
Title: Hybrid Sampling with Bagging for Class Imbalance Learning (L)
Authors: Yiu-ming Cheung, Yang Lu
Title: Exploring Heterogeneous Product Networks for Discovering Collective Marketing Hyping Behavior (L)
Authors: Qinzhe Zhang, Guodong Long, Peng Zhang, Chengqi Zhang
Title: Sparse Adaptive Multi-Hyperplane Machine (R)
Authors: Khanh Nguyen, Trung Le, Vu Nguyen, Dinh Phung
Title: Joint Classification with Heterogeneous labels using random walk with dynamic label propagation (R)
Authors: Yongxin Liao, Shenxi Yuan, Jian Chen, Qingyao Wu, Bin Li
Section 1B : Novel Models and Algorithms (Chair: Longbing Cao)
Title: Active Learning Based Entity Resolution Using Markov Logic (L)
Authors: Jeffrey Fisher, Peter Christen, Qing Wang
Title: Modeling Adversarial Learning as Nested Stackelberg Games (L)
Authors: Yan Zhou, Murat Kantarcioglu
Title: Fast and Semantic Measurements on Collaborative Tagging Quality (R)
Authors: Yuqing Sun
Title: Matrices, Compression, Learning Curves: formulation, and ROUPNTEACH algorithms (R)
Authors: Bryan Hooi, Hyun Ah Song, Evangelos Papalexakis, Rakesh Agrawal, Christos Faloutsos
Title: A Rule based Open Information Extraction Method Using Cascaded Finite-State Transducer (R)
Authors: Hailun Lin, Peng Zhang
Section 1C : Mining Images (Chair: Gill Dobbie)
Title: Robust Multi-View Manifold Ranking for Image Retrieval (L)
Authors: Jun Wu, Jianbo Yuan, Jiebo Luo
Title: Image Representation Optimization Based on Locally Aggregated Descriptors (L)
Authors: Shijiang Chen, Shijiang Chen, Guiguang Ding, Yuchen Guo
Title: Reusing Extracted Knowledge in Genetic Programming to Solve Complex Texture Image Classification Problems (R)
Authors: Muhammad Iqbal, Mengjie Zhang
Title: Multi-Hypergraph Consistent Sparse Coding for Image Data Clustering (R)
Authors: Xiaodong Feng, Sen Wu, Wenjun Zhou, Zhiwei Tang
Section 1D : Applications I (Chair: Dinh Phung)
Title: Effective Local Metric Learning for Water Pipe Assessment (L)
Authors: Mojgan Ghanavati, Raymond K. Wong, Fang Chen, Yang Wang, Simon Fong
Title: Classification with Quantification for Air Quality Monitoring (L)
Authors: Sanad Al Maskari, Eve B’elisle, Xue Li, S’ebastien Le Dig, Amin Nawahda, Jiang Zhong
Title: Predicting Unknown Interactions between Known Drugs and Targets via Matrix Completion (R)
Authors: Qing Liao, Naiyang Guan, Chengkun Wu, Qian Zhang
Title: TrafficWatch: Real-time Traffic Incident Detection and Monitoring Using Social Media (R)
Authors: Hoang Nguyen, Wei Liu, Paul Rivera, Fang Chen
Title: Automated Setting of Bus Schedule Coverage using Unsupervised Machine Learning (R)
Authors: Jihed Khiari, Luis Moreira-Matias, Vitor Cerqueira, Oded Cats
Section 2A : Pattern Mining (Chair: Yan Zhou)
Title: Significant Pattern Mining with Confounding Variables (L)
Authors: Aika Terada, Dave duVerle, Koji Tsuda
Title: Building Compact Lexicons for Cross-Domain SMT by mining near-optimal Pattern Sets (L)
Authors: Pankaj Singh, Ashish Kulkarni, Himanshu Ojha, Vishwajeet Kumar, Ganesh Ramakrishnan
Title: Analyzing Similarities of Datasets using a Pattern Set Kernel (R)
Authors: Ibrahim A, P Sastry, Shivakumar Sastry
Section 2B : Mining dynamic/streaming and behavioural data (Chair: Myra Spiliopoulou)
Title: Personal Credit Profiling via Latent User Behavior Dimensions on Social Media (R)
Authors: Guangming Guo, Enhong Chen, Feida Zhu, Le Wu, Qi Liu
Title: Linear Upper Confidence Bound Algorithm for Contextual Bandit Problem with Piled Rewards (R)
Authors: Kuan-Hao Huang, Hsuan-Tien Lin
Title: Incremental Hierarchical Clustering of Stochastic Patterns for Symbolic Data Analysis (R)
Authors: Xin Xu, Jiaheng Lu, Wei Wang
Title: Computing Hierarchical Summary of the Data Streams (R)
Authors: Zubair Shah, Abdun Naser Mahmood, Michael Barlow
Section 2C : Privacy Preserving Data Mining (Chair: Luis Moreira-Matias)
Title: Privacy Aware K-Means Clustering with High Utility (R)
Authors: Thanh Nguyen, Sunil Gupta, Santu Rana, Svetha Venkatesh
Title: Secure k-NN Query on Encrypted Cloud Data with Limited Key-disclosure and Offline Data Owner (R)
Authors: Youwen Zhu, Zhikuan Wang, Yue Zhang
Title: Hashing-based Distributed Multi-party Blocking for Privacy-preserving Record Linkage (R)
Authors: Thilina Ranbaduge, Dinusha Vatsalan, Peter Christen, Vassilios Verykios
Section 2D :  Mining Social Networks (Chair: P. Krishna Reddy)
Title: Leveraging Emotional Consistency for Semi-Supervised Sentiment Classification (L)
Authors: Minh Luan Nguyen
Title: The effect on accuracy of tweet sample size for hashtag segmentation dictionary construction (R)
Authors: Laurence Park, Glenn Stone
Title: Social Identity Link across Incomplete Social Information Sources Using Anchor Link Expansion (R)
Authors: Yuxiang Zhang, Lulu Wang, Xiaoli Li, Chunjing Xiao
Section 3A : Anomaly Detection (Chair: Manish Gupta)
Title: Unsupervised Parameter Estimation for One-Class Support Vector Machines (L)
Authors: Zahra Ghafoori, Sutharshan Rajasegarar Sarah M. Erfani, Shanika Karunasekera, Christopher Leckie
Title: Frequent Pattern Outlier Detection without Exhaustive Mining (L)
Authors: Arnaud Soulet, Arnaud Giacometti
Title: Dynamic Grouped Mixture Models for Intermittent Multivariate Sensor Data (L)
Authors: Naoya Takeishi, Takehisa Yairi, Naoki Nishimura, Yuta Nakajima, Noboru Takata
Title: Parallel Discord Discovery (R)
Authors: Tian Huang, Mengyun Liu, Xinyang Li, Yishu Mao, Yongxin Zhu
Title: Ensembles of Interesting Subgroups for Discovering High Potential Employees (R)
Authors: Girish Palshikar, Kuleshwar Sahu, Rajiv Srivastava
Section 3B : Mining Graph and Network data (Chair: Jinyan Li)
Title: Discovering the Network Backbone from Traffic Activity Data (L)
Authors: Sanjay Chawla,  Kiran Garimella, Aristides Gionis, Dominic Tsang
Title: A Fast and Complete Enumeration of Pseudo-Cliques for Large Graphs (L)
Authors: Hongjie Zhai, Makoto Haraguchi, Yoshiaki Okubo, Etsuji Tomita
Title: Link Prediction in Schema-Rich Heterogeneous Information Network (L)
Authors: Xiaohuan Cao, Yuyan Zheng, Chuan Shi, Bin Wu
Title: FastStep: Scalable Boolean Matrix Decomposition (L)
Authors:Miguel Araujo, Pedro Ribeiro, Christos Faloutsos
Title: Incorporating Heterogeneous Information for Mashup Discovery with Consistent Regularization (R)
Authors: Yao Wan, Liang Chen, Qi Yu, Tingting Liang, Jian Wu
Section 3C : Feature Extraction and Selection (Chair: Huan Liu)
Title: Bayesian Group Feature Selection for Support Vector Learning Machines (L)
Authors: Changde Du, Changying Du, Shandian Zhe, Ali Luo, Qing He, Guoping Long
Title: Unsupervised and Semi-Supervised Dimensionality Reduction with Self-Organizing Incremental Neural Network and Graph Similarity Constraints (R)
Authors: Zhiyang Xiang, Zhu Xiao, Yourong Huang, Dong Wang, Bin Fu and Wenjie Chen
Title: Cross-View Feature Hashing for Image Retrieval (R)
Authors: Wei Wu, Bin Li, Ling Chen, Chengqi Zhang
Title: Towards Automatic Generation Of Metafeatures (R)
Authors: Fabio Pinto, Carlos Soares, Joao Mendes-Moreira
Title: Hash Learning with Convolutional Neural Networks for Semantic Based Image Retrieval (R)
Authors: Jinma Guo, Jianmin Li, Shifeng Zhang
Title: Active Distance-Based Clustering using K-medoids (R)
Authors: Mehrdad Ghadiri, Amin Aghaee, Mahdieh Soleymani Baghshah
Section 4A : Classification and association with feature extraction and selection (Chair: Yasuo Tabei)
Title: Sparse Logistic Regression with Logical Features (L)
Authors: Yuan Zou, Teemu Roos
Title: A Nonlinear Label Compression and Transformation Method for Multi-Label Classification using Autoencoders (L)
Authors: Jorg Wicker, Andrey Tyukin, Stefan Kramer
Title: OCEAN:Fast Discovery of High Utility Occupancy Itemsets (L)
Authors: Bilong Shen, Zhaoduo Wen, Ying Zhao, Dongliang Zhou, Weimin Zheng
Title: Forest CERN: A New Decision Forest Building Technique (R)
Authors: Md Nasim Adnan, Md Zahidul Islam
Title: Preconditioning an Artificial Neural Network Using Naive Bayes (R)
Authors: Nayyar A. Zaidi, Francois Petitijean, Geoff I. Webb
Section 4B : Classification with Statistical Methods (Chair: Laurence Park)
Title: Optimal Training and Efficient Model Selection for Parameterized Large Margin Learning (L)
Authors: Yuxun Zhou, Claire Baek, Costas J. Spanos
Title: Grade Prediction with Course and Student Specific Models (L)
Authors: Agoritsa Polyzou, George Karypis
Title: Flexible Transfer Learning Framework for Bayesian Optimisation (R)
Authors: Tinu Joy, Santu Rana, Sunil Gupta, Svetha Venkatesh
Title: Locally Weighted Ensemble Learning for Regression (R)
Authors: Qinghua Hu, Man Yu
Title: Reliable Confidence Predictions Using Conformal Prediction (R)
Authors: Henrik Linusson, Ulf Johansson, Henrik Bostrom, Tuve Lofstrom
Section 4C : Mining texts and Documents (Chair: Rajeev Raman)
Title: Enabling Hierarchical Dirichlet Processes to work better for short texts at large scale (L)
Authors: Khai Mai, Sang Mai, Anh Nguyen, Linh Ngo, Khoat Than
Title: Efficient Page-Level Data Extraction Via Schema Verification (L)
Authors: Chia-Hui Chang
Title: Query-focused Multi-document Summarization based on Concept Importance (R)
Authors: HaiTao Zheng, Jimin Guo
Title: Mirror on the Wall: Finding Similar Questions using Deep Semantic Topic Modeling (R)
Authors: Arpita Das, Manish Shrivastava, Manoj Chinnakotla
Title: An Efficient Dynamic Programming Algorithm for STR-IC-STR-IC-LCS Problem (R)
Authors: Xiaodong Wang
Section 4D : Applications II (Chair: Sunhwan Lee)
Title: An Expert-in-the-loop Paradigm for Learning Medical Image Grouping (L)
Authors: Xuan Guo, Qi Yu, Rui Li, Cecilia Ovesdotter Alm, Cara Calvelli, Pengcheng Shi, Anne Haake
Title: Predicting Post-Operative Visual Acuity for LASIK Surgeries (L)
Authors: Manish Gupta, Prashant Gupta, Pravin Vaddavalli, Asra Fatima
Title: LBMF: Log-Bilinear Matrix Factorization for Recommender Systems (L)
Authors: Yunhui Guo, Xin Wang, Congfu Xu
Title: An Empirical Study on Hybrid Recommender System with Implicit Feedback (R)
Authors: Sunhwan Lee, Anca Chandra, and Divyesh Jadav
Title: Who will be Affected by Supermarket Health Programs? Tracking Customer Behavior Changes via Preference Modeling (R)
Authors: Ling Luo, Bin Li, Irena Koprinska, Shlomo Berkovsky, Fang Chen
Section 5A : Mining sequential, temporal and spcial data (Chair: Arnaud Soulet)
Title: Denoising Time Series By Way of A Flexible Model For Phase Space Reconstruction (L)
Authors: Minhzul Islam Sk, Arunava Banerjee
Title: Deep Feature Extraction from Trajectories for Transportation Mode Estimation (L)
Authors: Yuki Endo, Hiroyuki Toda, Kyosuke Nishida, Akihisa Kawanobe
Title: Online Learning for Accurate Real-Time Map Matching without Human Labeling (R)
Authors: Biwei Liang, Tengjiao Wang, Wei Chen, Hongyan Li
Title: Distributed Sequential Pattern Mining in Large Scale Uncertain Databases (R)
Authors: Jiaqi Ge, Yuni Xia
Title: DeepCare: A Deep Dynamic Memory Model for Predictive Medicine (R)
Authors: Trang Pham, Truyen Tran, Dinh Phung, Svetha Venkatesh
Title: Indoor Positioning System for Smart Homes based on Decision Trees and Passive RFID (R)
Authors: Frederic Bergeron, Kevin Bouchard, Sylvain Giroux, Sebastien Gaboury, Bruno Bouchard
Section 5B : Clustering (Chair: Zahid Islam)
Title: Adaptive Seeding for Gaussian Mixture Models (L)
Authors: Johannes Blomer, Kathrin Bujna
Title: A Greedy Algorithm to Construct L1 Graph with Ranked Dictionary (L)
Authors: Shuchu Han, Hong Qin
Title: Dboost: a fast algorithm for DBSCAN-based clustering on high dimensional data (R)
Authors: Yuxiao Zhang, Xiaorong Wang, Binyang Li, Wei Chen, Tengjiao Wang, and Kai Lei
Title: A Precise and Robust Clustering Approach using Homophilic Degrees of Graph Kernel (R)
Authors: Haolin Yang, Deli Zhao, Lele Cao, Fuchun Sun
Title: Constraint Based Subspace Clustering for High Dimensional Uncertain Data (R)
Authors: XianChao Zhang, Lu Gao, Hong Yu
Title: A Clustering-based Framework for Incrementally Repairing Entity Resolution (R)
Authors: Qing Wang, Jingyi Gao, Peter Christen
Section 5C : Classification of Structure (Chair: Yun Sing Koh)
Title: User-guided Large Attributed Graph Clustering with Multiple Sparse Annotations (L)
Authors: Jianping Cao, Senzhang Wang, Hui Wang, Feiyue Wang, Philip Yu
Title: Toxicity Prediction in Cancer Using Multiple Instance Learning in a Multi-Task Framework (L)
Authors: Cheng Li, Sunil Gupta, Santu Rana, Wei Luo, Svetha Venkatesh, David Ashley, Dinh Phung
Title: Will I Win Your Favor? Predicting the Success of Altruistic Requests (L)
Authors: Hsun-Ping Hsieh, Cheng-Te Li
Title: A Simple Unlearning Framework for Online Learning under Concept Drifts (R)
Authors: Sheng-Chi You, Hsuan-Tien Lin
Title: Early-Stage Event Prediction for Longitudinal Data (R)
Authors: Mahtab Jahanbani Fard, Sanjay Chawla, Chandan Reddy
Title: Shot Boundary Detection using Multi-instance Incremental and Decremental One-Class Support Vector Machines (R)
Authors: Hanhe Lin, Jeremiah Deng, Brendon Woodford
Section 5D : Recommender System (Chair: Khoat Than)
Title: Social Group Based Video Recommendation Addressing the Cold-Start Problem (L)
Authors: Chunfeng Yang, Yipeng Zhou, Liang Chen, Xiaopeng Zhang, Dah ming Chiu
Title: Dual Similarity Regularization for Recommendation (L)
Authors: Jing Zheng, Jian Liu, Chuan Shi, Fuzhen Zhuang, Bin Wu
Title: Collaborative Deep Ranking: a Hybrid Pair-wise Algorithm with Implicit Feedback (L)
Authors: Haochao Ying, Liang Chen, Yuwen Xiong, Jian Wu
Title: Transfer-Learning based Model for Reciprocal Recommendation (R)
Authors: Chia-Hsin Ting, Shou-De Lin
Title: Enhanced SVD for Collaborative Filtering (R)
Authors: Xin Guan, Chang-Tsun Li, Yu Guan
Title: FeRoSA: A Faceted Recommendation System for Scientific Articles (R)
Authors: Tanmoy Chakraborty, Amrith Krishna, Mayank Singh, Niloy Ganguly, Pawan Goyal, Animesh Mukherjee