The Pacific-Asia Conference on Knowledge Discovery and Data Mining

May 23-26, 2017, Jeju, South Korea

Photograph courtesy of Jeju Tourism Organization

Program Overview

Program at a Glance

May 23, 2017 (Tuesday)
08:00 ~ 08:30 Registration (1st Floor Lobby)
Diamond Crystal Sapphire Rose
08:30 ~ 10:00 Tutorial 1 Tutorial 2 Workshop Workshop
Text Similarity Search within Homogenous and Heterogenous Document Collections Advances in Recommender System BDM PAISI
10:00 ~ 10:30 Coffee Break
10:30 ~ 12:00 Text Similarity Search within Homogenous and Heterogenous Document Collections Advances in Recommender System BDM PAISI
12:00 ~ 13:30 Lunch
13:30 ~ 15:30 Tutorial 3 Workshop BDM PAISI
Large Scale Tensor Anaysis DM-BPM
15:30 ~ 16:00 Coffee Break
16:00 ~ 18:00 Workshop DM-BPM
18:00 ~ 20:00 Reception (Diamond Hall)
May 24, 2017 (Wednesday)
08:00 ~ 08:30 Registration (1st Floor Lobby)
08:30 ~ 09:00 Conference Opening (Diamond Hall)
09:00 ~ 10:00 Keynote speech: Sangkyun Cha (Diamond Hall)
10:00 ~ 10:20 Coffee Break
Diamond Crystal Sapphire Rose
10:20 ~ 12:25 Research 1 Research 2 Research 3 Research 4
Classification and Deep Learning (I)
(Chair: Tomoya Iwakura)
Social Network and Graph Mining (I)
(Chair: Balaji Vasan Srinivasan)
Privacy-Preserving Mining and Security / Risk Applications
(Chair: Hoai An Le Thi)
Spatio-Temporal and Sequential Data Mining (I)
(Chair: Jaideep Srivastava)
12:25 ~ 14:00 Lunch
14:00 ~ 15:45 Research 5 Research 6 Research 7 Research 8
Classification and Deep Learning (II)
(Chair: Sotirios Chatzis)
Social Network and Graph Mining (II)
(Chair: Yongqing Wang)
Clustering and Anomaly Detection
(Chair: Khalid Benabdeslem)
Recommender Systems
(Chair: Guandong Xu)
15:45 ~ 16:10 Coffee Break
16:10 ~ 17:40 Research 9 Research 10 Research 11
Feature Selection
(Chair: Min-Ling Zhang)
Social Network and Graph Mining (III)
(Chair: Grigorios Loukides)
Text and Opinion Mining (I)
(Chair: Younghoon Kim)
May 25, 2017 (Thursday)
08:30 ~ 09:00 Registration (1st Floor Lobby)
09:00 ~ 10:00 Keynote speech: Rakesh Agrawal (Diamond Hall)
10:00 ~ 10:20 Coffee Break
Diamond Crystal Sapphire Rose
10:20 ~ 12:25 Research 12 Research 13 Research 14 Research 15
Clustering and Matrix Factorization
(Chair: Qiuyang Liu)
Social Network and Graph Mining (IV)
(Chair: Jiuding Duan)
Spatio-Temporal and Sequential Data Mining (II)
(Chair: Chulyun Kim)
Dynamic, Stream Data Mining
(Chair: Naresh Manwani)
12:25 ~ 13:30 Lunch
13:30 ~ 18:00 Excursion
18:00 ~ Banquet
May 26, 2017 (Friday)
09:00 ~ 10:00 Keynote speech: Dacheng Tao (Diamond Hall)
10:00 ~ 10:20 Coffee Break
Diamond Crystal Sapphire Rose
10:20 ~ 12:25 Research 16 Research 17 Research 18 Research 19
Novel Models and Algorithms (I)
(Chair: Khoat Than)
Text and Opinion Mining (II)
(Chair: Manjira Sinha)
Behavioral Data Mining
(Chair: Joonho Kwon)
Social Network and Graph Mining (V)
(Chair: Gill Dobbie)
12:25 ~ 14:00 Lunch
14:00 ~ 15:15 Research 20 Research 21 Research 22 Research 23
Novel Models and Algorithms (II)
(Chair: Philippe Fournier-Viger)
Graph Clustering and Community Detection
(Chair: Uday Kiran Rage)
Dimensionality Reduction
(Chair: Jerry Chun-Wei Lin)
Classification and Deep Learning (III)
(Chair: Manoj Chinnakotla)
15:15 ~ 15:40 Closing Ceremony (Diamond Hall)

Research sessions

  • Convolutional Bi-Directional LSTM for Detecting Inappropriate Query Suggestions in Web Search
  • HARISH YENALA*, IIIT HYDERABAD; Manoj Chinnakotla, Microsoft, India; Jay Goyal, Microsoft, India
  • A Fast and Easy Regression Technique for k-NN Classification Without Using Negative Pairs
  • Yutaro Shigeto, Nara Institute of Science and Technology; Masashi Shimbo*, "Nara Institute of Science and Technology, Japan"; Yuji Matsumoto, Nara Institute of Science and Technology
  • Deep Network Regularization via Bayesian Inference of Synaptic Connectivity
  • Harris Partaourides, ; Sotirios Chatzis*, Cyprus University of Technolog
  • Adaptive One-Class Support Vector Machine for Damage Detection in Structural Health Monitoring
  • Ali Anaissi*, DATA61|CSIRO; Khoa Nguyen Lu Dang, Data61, CSIRO, Australia; Samir Mustapha, American University of Beirut, Lebanon; Mehrisadat akki Alamdari, Data61, CSIRO, Australia; Ali Braytee, University of Technology Sydney, Australia; Yang Wang,; Fang Chen, Data61, CSIRO, Australia
  • A Classification model for Diverse and Noisy Labelers
  • Hao-en Sung, National Taiwan University; Cheng-Kuan Chen*, National Taiwan University; Han Xiao, ; Shou-De Lin, NTU
  • Beyond Assortativity: Proclivity Index for Attributed Networks (ProNe)
  • Reihaneh Rabbany*, Carnegie Mellon University; Dhivya Eswaran, Carnegie Mellon University; Artur Dubrawski, Carnegie Mellon University; Christos Faloutsos, Carnegie Mellon University
  • Hierarchical Mixed Neural Network for Joint Representation Learning of Social-Attribute Network
  • Weizheng Chen*, Peking University; Jinpeng Wang, Microsoft Research; Zhuoxuan Jiang, Peking University; Yan Zhang, Peking University; Xiaoming Li, Peking University
  • Cost-effective viral marketing in the Latency Aware Independent Cascade model
  • Robert Gwadera, Cardiff University; Grigorios Loukides*, King's College London
  • DSBPR: Dual Similarity Bayesian Personalized Ranking
  • Longfei Shi*, Bupt; Bin Wu, ; jing zheng, Beijing University of Posts and Telecommunications; Chuan Shi, "Beijing University of Posts and Telecommunications, China"; Mengxin Li, Bupt
  • Usage Based Tag Enhancement of Images
  • Balaji Srinivasan*, Adobe Research; Noman Ahmed Sheikh, IIT Delhi; Roshan Kumar, IIT Kanpur; Saurabh Verma, IIT Rourkee; Niloy Ganguly, IIT Kharagpur
  • Partitioning-based mechanisms under personalized differential privacy
  • Haoran Li*, Emory University; Li Xiong, ; Xiaoqian Jiang, ; Zhanglong Ji,
  • Efficient Cryptanalysis of Bloom Filters for Privacy-Preserving Record Linkage
  • Peter Christen*, "The Australian National University, Australia"; Rainer Schnell, City University London; Dinusha Vatsalan, The Australian National University; Thilna Ranbaduge, Australian National University
  • Energy-Based Localized Anomaly Detection in Video Surveillance
  • Hung Vu*, Deakin University; Tu Nguyen, Deakin University; Anthony Travers, Defence Science and Technology Organization (DSTO), Australia; Svetha Venkatesh, Deakin University; Dinh Phung, "Deakin University, Australia"
  • A fast Fourier transform-coupled machine learning-based ensemble model for disease risk prediction using a real-life dataset
  • RAID LAFTA*, University of southern Queensl; Ji Zhang, USQ; Xiaohui (Daniel) Tao, "The University of Southern Queensland, Australia"; Yan Li, USQ; Vincent S Tseng, National Chiao Tung University; Wessam Abbas, University of Southern Queensland; Yonglong Luo, School of Mathematics and Computer Science, Anhui Normal University, China; Fulong Fulong Chen, School of Mathematics and Computer Science, Anhui Normal University, China
  • Assessing Death Risk of Patients with Cardiovascular Disease from Long-term Electrocardiogram Streams Summarization
  • Shenda Hong, Peking University; Meng Wu, ; Jinbo Zhang, ; Hongyan Li*,
  • On the Robustness of Decision Tree Learning under Label Noise
  • Aritra Ghosh*, Microsoft; Naresh Manwani, IIIT Hyderabad; P. S. Sastry, "Indian Institute of Science,Bangalore, India"
  • Relevance-based Evaluation Metrics for Multi-class Imbalanced Domains
  • Paula Branco*, INESC Tec/LIAAD; FCUP; Luís Torgo, ; Rita Ribeiro,
  • Location Prediction Through Activity Purpose: Integrating Temporal and Sequential Models
  • Dongliang Liao*, USTC; Yuan Zhong, Northeastern University, Boston, MA, USA; Jing Li, University of Science and Technology of China, Hefei, China
  • Modeling Temporal Behavior of Awards Effect on Viewership of Movies
  • Basmah Altaf*, KAUST; Faisal Kamiran, Information Technology University, Pakistan; Xiangliang Zhang, KAUST
  • A Physarum-inspired Ant Colony Optimization for Community Mining
  • Mingxin Liang*, Southwest University; Gao Chao,; Xianghua Li, ; Zili Zhang,
  • A Novel Diversity Measure for Understanding Movie Ranks in Movie Collaboration Networks
  • Manqing Ma, Jilin University; Wei Pang, School of Natural and Computing Sciences, University of Aberdeen, Aberdeen, AB24; Lan Huang, ; Zhe Wang*, College of Computer Science and Technology, Jilin University
  • Local-to-Global Unsupervised Anomaly Detection from Temporal Data
  • Seif-eddine Benkabou*, University Lyon 1 ; khalid Benabdeslem, university of Lyon 1; bruno Canitia, Lizeo Online Media Group
  • Automatic Discovery of Common and Idiosyncratic Latent Effects in Multilevel Regression
  • Minhazul Islam Sk*, University of Florida; Arunava Banerjee, "University of Florida, USA"
  • A Deep Neural Network for Pairwise Classification: Enabling Feature Conjunctions and Ensuring Symmetry
  • Kyohei Atarashi*, Hokkaido University; Satoshi Oyama, Hokkaido University; Masahito Kurihara, Hokkaido University; Kazune Furudo, NEC Solution Innovators, Ltd.
  • Feature Ranking of Large, Robust, and Weighted Clustering Result
  • Mirka Saarela*, University of Jyväskylä; Joonas Hämäläinen, ; Tommi Kärkkäinen,
  • Purchase Signatures of Retail Customers
  • Clement Gautrais*, University of Rennes 1; Peggy Cellier, INSA Rennes; Thomas Guyet, ; Rene Quiniou, ; Alexandre Termier,
  • Volatility Adaptive Classifier System
  • Ruolin Jia, The University of Auckland; Yun Sing Koh*, "The University of Auckland, New Zealand"; Gillian Dobbie, The University of Auckland
  • Distributed Representations for Words on Tables
  • Minoru Yoshida*, Tokushima University; Kazuyuki Matsumoto, ; Kenji Kita,
  • Link Prediction for Isolated Nodes in Heterogeneous Network by Topic-based Co-Clustering
  • Katsufumi Tomobe*, Keio University; Masafumi Oyamada, NEC corporation; Shinji Nakadai, NEC corporation
  • Edge Role Discovery via Higher-order Structures
  • Nesreen Ahmed*, Intel Labs; Ryan Rossi, Xerox PARC; ted Willke, Intel Labs; Rong Zhou, Palo Alto Research Center
  • Efficient bi-level variable selection and application to estimation of multiple covariance matrices
  • Duy Nhat Phan*, University of Lorraine; Hoai An Le Thi, University of Lorraine; Tao Pham Dinh, INSA–Rouen
  • Entity Set Expansion with Meta Path in Knowledge Graph
  • Yuyan Zheng*, Beijing University of Posts and Telecommunications; Chuan Shi, "Beijing University of Posts and Telecommunications, China"; xiaohuan Cao, Beijing University of Posts and Telecommunications; Xiaoli Li, ; Bin Wu,
  • Using Network Flows to Identify Users Sharing Extremist Content on Social Media
  • Yifang Wei*, Georgetown University; Lisa Singh, Georgetown University
  • MC3: A Multi-Class Consensus Classification Framework
  • Tanmoy Chakraborty*, University of Maryland, USA; Des Chandhok, University of Maryland, College Park, USA; V.S Subrahmanian, University of Maryland, College Park, USA
  • Monte Carlo Based Incremental PageRank on Evolving Graphs
  • Qun Liao, Nankai University; Shuangshuang Jiang, ; Min Yu, ; Yulu Yang*, ; Tao Li, Nankai University
  • Joint Weighted Nonnegative Matrix Factorization for Mining Attributed Graphs
  • Zhichao Huang, Shenzhen Graduate School, Harbin Institute of Technology; Yunming Ye*, ; Xutao Li, ; Feng Liu, Harbin Institute of Technology, Shenzhen; Huajie Chen, Harbin Institute of Technology, Shenzhen
  • A Targeted Retraining Scheme of Unsupervised Word Embeddings for Specific Supervised Tasks
  • Pengda Qin, BUPT; Weiran Xu*, Beijing University of Posts and Telecommunications; Jun Guo, Beijing University of Posts and Telecommunications
  • A Neural Joint Model for Extracting Bacteria and Their Locations
  • Fei Li*, Wuhan University; Meishan Zhang, School of Computer Science and Technology, Heilongjiang University, China; Guohong Fu, School of Computer Science and Technology, Heilongjiang University, China; Donghong Ji, School of Computer, Wuhan University, Wuhan, China
  • Abdelkader Baggag*, Hamad Bin Khalifa University; Halima Bensmail, Hamad Bin Khalifa University; Jaideep Srivastava,
  • Accurate Recognition of the Current Activity in the Presence of Multiple Activities
  • Weihao Cheng*, The University of Melbourne; Sarah Erfani, The University of Melbourne; Rui Zhang, The University of Melbourne; Ramamohanarao Kotagiri, The University of Melbourne
  • Modeling Information Sharing Behavior on Q&A Forums
  • Biru Cui*, RIT; Shanchieh Yang, RIT; Christopher Homan, RIT
  • Effective Multiclass Transfer For Hypothesis Transfer Learning
  • Shuang Ao*, Western University; Xiang Li, Western University; charles Ling, University of Western Ontario
  • Clustering Based on Dominant Set and Cluster Expansion
  • Jian Hou*, Bohai University; Weixue Liu,
  • Friend recommendation considering preference coverage in location-based social networks
  • Fei Yu*, Harbin Institute of Technology; Nan Che, Harbin University of Science and Technology; Zhijun Li, harbin institute of technology; Kai Li, Harbin University of Science and Technology; shouxu Jiang, harbin institute of technology
  • Contrast Pattern Based Collaborative Behavior Recommendation for Life Improvement
  • Yan Chen*, York University; Margot Yann, York University; Heidar Davoudi, ; Joy Choi, ; Aijun An, "York University, Canada"; Zhen Mei,
  • Exploiting Location Significance and User Authority for Point-of-Interest Recommendation
  • Yonghong Yu*, Nanjing University; Hao Wang, Nanjing University; Yang Gao, "Nanjing University, China"; Shuanzhu Sun,
  • Personalized Ranking Recommendation via Integrating Multiple Feedbacks
  • Jian Liu, BUPT; Chuan Shi*, "Beijing University of Posts and Telecommunications, China"; Binbin Hu, Beijing University of Posts an; Shenghua Liu, ICT,CAS; Philip Yu, UIC
  • Fairness Aware Recommendations on Behance
  • Natwar Modani*, Adobe Research; Deepali Jain, Adobe Research; Ujjawal Soni, IIT, Madras; Gaurav Gupta, IIT, Roorkee; Palak Agarwal, IIT, Kanpur
  • A Performance Evaluation Model for Taxi Cruising Path Recommendation System
  • Huimin Lv*, CUG; Zhongwen Luo, CUG; Fang Fang, CUG; Yishi Zhao, CUG; Yuanyuan Liu, CUG
  • MaP2R: A Personalized Maximum Probability Route Recommendation Method Using GPS Trajectories
  • Ge Cui, University of Calgary; Xin Wang*, "University of Calgary, Canada"
  • SNE: Signed Network Embedding
  • Shuhan Yuan, Tongji University; Xintao Wu*, University of Arkansas; Yang Xiang, Tongji University
  • mHUIMiner: A Fast High Utility Itemset Mining Algorithm for Sparse Datasets
  • Yuxuan(Alex) Peng, University of Auckland; Yun Sing Koh*, "The University of Auckland, New Zealand"; Patricia Riddle, "University of Auckland, New Zealand"
  • Partial tree-edit distance: a solution to the default class problem in pattern-based tree classification
  • Maciej Piernik*, Poznan University of Technolog; Tadeusz Morzy, Poznan University of Technology
  • A Domain-Agnostic Approach to Spam-URL Detection via Redirects
  • Heeyoung Kwon, Stony Brook University; Mirza Baig, Stony Brook University; Leman Akoglu*, Carnegie Mellon University
  • Automatic and Effective Mining of Coevolving Online Activities
  • Thinh Minh Do*, Kumamoto University; Yasuko Matsubara, "Kumamoto University, Japan"; Yasushi Sakurai, Kumamoto University
  • Keeping priors in streaming Bayesian learning
  • Anh Nguyen Duc*, HUST; Linh Ngo Van, Hanoi University of Science and Technology; Anh Nguyen Kim, ; Khoat Than, "Hanoi University of Science and Technology, Vietnam"
  • Predicing Happiness State Based on Emotion Representative Mining in Online Social Networks
  • Xiao Zhang, Nanjing University; Li Wenzhong*, ; Hong Huang, ; Cam Tu Nguyen, ; Xu Chen, ; Xiaoliang Wang, ; Sanglu Lu,
  • Exploring Celebrities for Twitter User Geolocation Inference
  • Mohammad Ebrahimi*, University od New South Wales; Elaheh ShafieiBavani, University of New South Wales; Raymond Wong, University of New South Wales; Fang Chen, University of New South Wales
  • Do Rumors Diffuse Differently from Non-rumors? A Systematically Empirical Analysis in Sina Weibo for Rumor Identification
  • Yahui Liu*, Institute; Xiaolong Jin, ict; Huawei Shen, ICT,CAS
  • Investigating the Dynamics of Religious Conflicts by Mining Public Opinions on Social Media
  • Swati Agarwal*, IIIT Delhi; Ashish Sureka, ABB Corporate Research Center, Bangalore
  • Mining High-Utility Itemsets with both Positive and Negative Unit Profits from Uncertain Databases
  • Wensheng Gan, Harbin Institute of Technology Shenzhen Graduate School; Jerry Chun-Wei Lin*, "Harbin Institute of Technology Shenzhen, China"; Philippe Fournier-Viger, Harbin Institute of Technology Shenzhen Graduate School; Han-Chieh Chao, ; Vincent S Tseng, National Chiao Tung University
  • Sparse Stochastic Inference with Regularization
  • Tung DOAN*, SOKENDAI-Japan; Khoat Than, "Hanoi University of Science and Technology, Vietnam"
  • Efficient Training of Adaptive Regularization of Weight Vectors for Semi-structured Text
  • Tomoya Iwakura*, Fujitsu Laboratories Ltd.
  • Behavior-based Location Recommendation on Location-Based Social Networks
  • Seyyed Mohammadreza Rahimi, University of Calgary; Xin Wang*, "University of Calgary, Canada"; Behrouz Far, University of Calgary
  • Integer Linear Programming for Pattern Set Mining; with an Application to Tiling
  • Abdelkader Ouali*, University of Caen Normandy; Albrecht Zimmermann, University of Caen Normandy; Samir Loudni, University of Caen Normandy; Yahia Lebbah, University of Oran 1; Bruno Cremilleux, "Universite de Caen, France"; Patrice Boizumault, University of Caen Normandy; Lakhdar Loukil, University of Oran 1
  • Secured Privacy Preserving Data Aggregation with Semi-honest Servers
  • Zhigang Lu*, The University of Adelaide; Hong Shen, "Adelaide University, Australia"
  • Multi-task Representation Learning for Enhanced Emotion Categorization in Short Text
  • Anirban Sen*, ; Manjira Sinha, Xerox Research Centre India; Sandya Mannarswamy, Xerox Research Centre India; shourya Roy, Xerox Research Centre India
  • Multi-View Matrix Completion for Clustering with Side Information
  • Peng Zhao*, Nanjing University; Yuan Jiang, Nanjing University; Zhi-Hua Zhou, Nanjing University
  • Weighted NMF-based Multiple Sparse Views Clustering for Web items
  • Xiaolong Gong*, Shanghai Jiao Tong University; Fuwei Wang, Shanghai Jiao Tong University; Linpeng Huang, Shanghai Jiao Tong University
  • Parallel Visual Assessment of Cluster Tendency on GPU
  • Tao Meng*, Tsinghua University; Bo Yuan,
  • Clustering Complex Data Represented as propositional formulas
  • Abdelhamid Boudane*, CRIL/Artois university; said Jabbour, CRIL/Artois university; Lakhdar Sais, CRIL/Artois university; Yakoub Salhi, CRIL/Artois university
  • Deep Bayesian Matrix Factorization
  • Sotirios Chatzis*, Cyprus University of Technolog
  • Exploring Check-in Data to Infer Social Ties in Location Based Social Networks
  • Gunarto Sindoro Njoo*, National Chiao Tung University; Min-Chia Kao, National Chiao Tung University; Kuo-Wei Hsu, National Chengchi University; Wen-Chih Peng, "National Chiao Tung University, Taiwan"
  • Scalable Twitter User Clustering Approach boosted by Personalized PageRank
  • Anup Naik*, Yahoo Japan Corporation; Hideyuki Maeda, ; Sumio Fujita, ; Vibhor Kanojia,
  • An Enhanced Markov Clustering Algorithm based on Physarum
  • Mingxin Liang*, Southwest University; Gao Chao,; Xianghua Li, ; Zili Zhang,
  • Exploiting Geographical Location for Team Formation in Social Coding Sites
  • Yuqiang Han*, Zhejiang University; Yao Wan, Zhejiang University; Liang Chen, Sun Yat-Sen University; Guandong Xu, "University of Technology Sydney, Australia"; Jian Wu, Zhejiang University
  • Weighted Simplicial Complex: A Novel Approach for Predicting Small Group Evolution
  • Ankit Sharma*, University of Minnesota; Terrence Moore, Army Research Lab; Ananthram Swami, Army Research Lab; Jaideep Srivastava,
  • Mining Temporal Fluctuating Patterns
  • Shan-Yun Teng, National Cheng Kung University; Cheng-Kuan Ou, National Cheng Kung University; Kun-Ta Chuang*, "National Cheng Kung University, Taiwan"
  • Maked Temporal Dynamics based on Recurrent Neural Network
  • Yongqing Wang*, ICT, CAS; Shenghua Liu, ICT,CAS; Huawei Shen, ICT,CAS; Jinhua Gao, ICT, CAS; Xueqi Chen, ICT,CAS
  • Mining of Location-Based Social Networks for Spatio-temporal Social Influence
  • Yu-Ting Wen*, National Chiao Tung University; Yi Yuan Fan, ; Wen-Chih Peng, "National Chiao Tung University, Taiwan"
  • Multi-perspective Hierarchical Dirichlet Process for Geographical Topic Modeling
  • Yuan He*, Tongji University; cheng Wang, TongJi University; Changjun Jiang,
  • Enumerating Non-Redundant Association Rules Using Satisfiability
  • Abdelhamid Boudane*, CRIL/Artois university; said Jabbour, CRIL/Artois university; Lakhdar Sais, CRIL/Artois university; Yakoub Salhi, CRIL/Artois university
  • Mining Competitive Pairs Hidden in Co-location Patterns from Dynamic Spatial Databases
  • Junli Lu*, Yunnan University; Lizhen Wang, "Yunnan University, China"; Yuan Fang, Yunnan University; momo Li, Yunnan Minzu University
  • Utility Aware Clustering for Publishing Transactional Data
  • Michael Bewong*, University of South Australia; Jixue Liu, University of South Australia; Lin Liu, University of South Australia; Jiuyong Li, "University of South Australia, Australia"
  • Self-Tuning Filers — Overload Prediction and Preventive Tuning using Pruned Random Forest
  • Kumar Dheenadayalan, IIIT-Bangalore; Gopalakrishnan Srinivasaraghavan*, IIIT-B; Muralidhara V.N., IIIT-B
  • Web-Scale Personalized Real-Time Recommender System on Suumo
  • Shiyingxue Li*, Recruit Sumai Company; Shimpei Nomura, ; Yohei Kikuta, Freelance; Kazuma Arino,
  • Modeling Contextual Changes In User Behaviour In Fashion e-Commerce
  • Ashay Tamhane*, Myntra; Sagar Arora, ; Deepak Warrier,
  • Weighted Ensemble Classification of Multi-label Data Streams
  • Lulu Wang, Beijing Jiaotong University; Hong Shen*, School of Computer Science, University of Adelaide, Australia; Hui Tian, School of Electronics and Information Engineering, Beijing Jiaotong University,
  • SS-FIM: Single Scan for Frequent Itemsets Mining in Transactional Databases
  • Youcef Djenouri, UNIST; Marco Comuzzi*, UNIST; Djamel Djenorui, CERIST Center Research
  • Improving One-class Collaborative Filtering with Manifold Regularization by Data-driven Feature Representation
  • Yen-Chieh Lien*, Academia Sinica; Pu-Jen Cheng, National Taiwan University
  • Stable Bayesian Optimization
  • Thanh Nguyen*, Deakin University; Sunil Gupta, "Deakin University, Australia"; Santu Rana, "Deakin University, Australia"; Svetha Venkatesh, Deakin University
  • An Exponential Time-Aware Recommendation Model for Mobile Notification Services
  • Chenglin Zeng*, Tsinghua University; Laizhong Cui, ; Zhi Wang,
  • Discovering Periodic Patterns in Non-Uniform Temporal Databases
  • Rage Kiran*, The university of Tokyo; Venkatesh N, IIIT Hyderabad; Philippe Fournier-Viger, Harbin Institute of Technology Shenzhen Grad. School; Krishna Reddy, IIIT-Hyderabad; Masashi Toyoda, The University of Tokyo; Masaru Kitsuregawa, university of tokyo
  • Discovering both Explicit and Implicit Similarities for Cross-Domain Recommendation
  • Quan Do*, UTS; Wei Liu, "University of Technology Sydney, Australia"; Fang Chen, Data61, CSIRO, Australia
  • Fine-grained Emotion Detection in Contact Center Chat Utterances
  • Shreshtha Mundra*, Xerox; Anirban Sen, ; Manjira Sinha, Xerox Research Centre India; Sandya Mannarswamy, Xerox Research Centre India; Sandipan Dandapat, ; shourya Roy, Xerox Research Centre India
  • Dependency-tree Based Convolutional Neural Networks for Aspect Term Extraction
  • Hai Ye*, Beihang University; Zichao Yan, Beihang University; Zhunchen Luo, China Defense Science and Technology Information Center; Wenhan Chao, Beihang University
  • Topic Modeling over Short Texts by Incorporating Word Embeddings
  • Jipeng Qiang*, Hefei University of Technology; Ping Chen, University of Massachusetts Boston; Tong Wang, University of Massachusetts Boston; Xindong Wu,
  • Mining Drug Properties for Decision Support in Dental Clinics
  • Wee Goh*, University of Southern Queensl; Xiaohui Tao, ; Ji Zhang, USQ; Jianming Yong,
  • PURE: a Novel Tripartite Model for Review Sentiment Analysis and Recommendation
  • Yue Xue*, BUPT; Liutong Xu, Telecommunications Software Engineering Group, school of computer science, Beiji; hai Huang, Telecommunications Software Engineering Group, school of computer science, Beiji; Yao Cheng,
  • Unsupervised Embedding for Latent Similarity by Modeling Heterogeneous MOOC Data
  • Zhuoxuan Jiang*, Peking University; Shanshan Feng, Nanyang Technological University; Weizheng Chen, Peking University; Guangtao Wang, University of Michigan; Xiaoming Li, Peking University
  • Matrix-based Method for Inferring Variable Labels Using Outlines of Data in Data Jackets
  • Teruaki Hayashi*, The University of Tokyo; Yukio Ohsawa, The University of Tokyo
  • Integrating Reviews into Personalized Ranking for Cold Start Recommendation
  • Guang-Neng Hu, HKUST; Xin-Yu Dai*, Nanjing University, China
  • Taste or Addiction?: Using Play Logs to Infer Song Selection Motivation
  • Kosetsu Tsukuda*, National Institute of Advanced; Masataka Goto, National Institute of Advanced Industrial Science and Technology (AIST)
  • Understanding Drivers' Safety by Fusing Large Scale Vehicle Recorder Dataset and Heterogeneous Circumstantial Data
  • Daisaku Yokoyama*, The University of Tokyo; Masashi Toyoda, The University of Tokyo; Masaru Kitsuregawa, university of tokyo
  • A P-LSTM Neural Network for Sentiment Classification
  • Chi Lu, Beijing Institute of Technology; heyan Huang*, Beijing University of Technology; Ping Jian, Beijing Institute of Technology; Dan Wang, Beijing Institute of Technology; Yi-Di Guo, Beijing Institute of Technology
  • Learning what matters – Sampling interesting patterns
  • Vladimir Dzyuba*, KU Leuven; Matthijs van Leeuwen, Leiden University
  • PNE: Label Embedding Enhanced Network Embedding
  • Weizheng Chen*, Peking University; Xianling Mao, Beijing Institute of Technology ; Xiangyu Li, Department of Automation, Tsinghua University; Yan Zhang, Peking University; Xiaoming Li, Peking University
  • Improving Temporal Record Linkage using Regression Classification
  • Yichen Hu*, Australian National University; Qing Wang, Australian National University; Dinusha Vatsalan, The Australian National University; Peter Christen, "The Australian National University, Australia"
  • Community Detection in Graph Streams by Pruning Zombie Nodes
  • Yue Ding, Sun Yat-Sen university; Ling Huang, Beijing Institute of Technology; Chang-Dong Wang*, Sun Yat-sen University; Dong Huang,
  • Bilingual Lexicon Extraction from Comparable Corpora based on Closed Concepts Mining
  • Mohamed Chebel*, Research Laboratory LIPAH, Fac; Chiraz Latiri, ; Eric Gaussier, "LIG, France"
  • Collective Geographical Embedding for Geolocating Social Network Users
  • Fengjiao Wang*, UIC; Chun-Ta Lu, ; Yongzhi Qu, Wuhan University of Technology; Philip Yu, UIC
  • Mining reccurrent patterns in a dynamic attributed graph
  • Multi-view Regularized Gaussian Processes
  • Qiuyang Liu*, East China Normal University; Shiliang Sun, East China Normal University
  • A Neural Network Model for Semi-supervised Review Aspect Identification
  • Ying Ding*, Singapore Management Universit; Changlong Yu, Singapore Management University; Jing Jiang, Singapore Management University
  • Query-oriented Graph Clustering
  • Li-Yen Kuo*, National Taiwan University; Chung-Kuang Chou, National Taiwan University; Ming-Syan Chen, "National Taiwan University, Taiwan"
  • CCCG: Clique Conversion Ratio Driven Clustering of Graphs
  • Prathyush Sambaturu*, IIIT Hyderabad; Kamalakar Karlapalem, IIIT Hyderabad
  • Mining Cohesive Clusters with Interpretations in Labeled Graphs
  • Hongxia Du*, Xi'an Jiaotong University; Heli Sun, ; Liang He, ; Zhongbin Sun, ; Jianbin Huang, ; Hong Cheng, "The Chinese University of Hong Kong, China"
  • A SAT-based Framework for Overlapping Community Detection in Networks
  • said Jabbour, CRIL/Artois university; Nizar Mhadhbi, CRIL-CNRS UMR 8188; Badran Raddaoui*, CRIL - CNRS UMR 8188; Lakhdar Sais, CRIL/Artois university
  • Denoising Autoencoder as an effective dimensionality reduction and clustering of text data
  • Milad Leyli abadi*, Paris Descartes University; Lazhar Labiod, Paris Descartes University; Mohamed Nadif, Paris Descartes University
  • Gradable Adjective Embedding for Commonsense Knowledge
  • Kyungjae Lee*, Yonsei University; Seung-won Hwang, "Yonsei University, Korea"; Hyunsouk Cho, Postech
  • Combining dimensionality reduction with random forests for multi-label classification under interactivity constraints
  • Noureddine Yassine NAIR BENREKIA*, Technicolor; Pascale KUNTZ, University of Nantes; Frank MEYER, Orange Labs
  • A Generalized Model for Multidimensional Intransitivity
  • Jiuding Duan*, Kyoto University; Jiyi Li, Kyoto University; Yukino Baba, Kyoto University; Hisashi Kashima,
  • Predicting Destinations from Partial Trajectories Using Recurrent Neural Network
  • Yuki Endo*, NTT Service Evolution Laboratories; Kyosuke Nishida, NTT Service Evolution Laboratories; Hiroyuki Toda, NTT Service Evolution Laboratories; Hiroshi Sawada, NTT Service Evolution Laboratories
  • Preventing Inadvertent Information Disclosures via Automatic Security Policies
  • Tanya Goyal*, Adobe Research; Sanket Mehta, Adobe research; Balaji Srinivasan, Adobe Research
  • Personalized Deep Learning for Tag Recommendation
  • Hanh T.H. Nguyen*, University of Hildesheim; Martin Wistuba, ; Josif Grabocka, ; Lucas Drumond, ; Lars Schmidt-Thieme,
  • Information-theoretic Non-redundant Subspace Clustering
  • Nina Hubig*, Frau; Claudia Plant, University Vienna
  • Cost Matters: A New Example-Dependent Cost-Sensitive Logistic Regression Model
  • Nikou Günnemann*, Technical University of Munich; Jürgen Pfeffer, Technical University of Munich

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