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ORCID19. PAKDD 2015: Ho Chi Minh City, Vietnam
- Tru H. Cao, Ee-Peng Lim
, Zhi-Hua Zhou, Tu Bao Ho, David Wai-Lok Cheung, Hiroshi Motoda:
Advances in Knowledge Discovery and Data Mining - 19th Pacific-Asia Conference, PAKDD 2015, Ho Chi Minh City, Vietnam, May 19-22, 2015, Proceedings, Part II. Lecture Notes in Computer Science 9078, Springer 2015, ISBN 978-3-319-18031-1
Opinion Mining and Sentiment Analysis
- Kai Gao, Hua Xu, Jiushuo Wang:
Emotion Cause Detection for Chinese Micro-Blogs Based on ECOCC Model. 3-14 - Changliang Li, Bo Xu, Gaowei Wu, Saike He, Guanhua Tian, Yujun Zhou:
Parallel Recursive Deep Model for Sentiment Analysis. 15-26 - Nir Ofek, Gilad Katz, Bracha Shapira, Yedidya Bar-Zev:
Sentiment Analysis in Transcribed Utterances. 27-38 - Xun Wang, Katsuhito Sudoh, Masaaki Nagata:
Rating Entities and Aspects Using a Hierarchical Model. 39-51 - Yaowen Zhang, Lin Shang, Xiuyi Jia:
Sentiment Analysis on Microblogging by Integrating Text and Image Features. 52-63 - Minh-Tien Nguyen, Asanobu Kitamoto, Tri-Thanh Nguyen:
TSum4act: A Framework for Retrieving and Summarizing Actionable Tweets During a Disaster for Reaction. 64-75
Clustering
- Peng Wang, Chuan Zhou, Peng Zhang, Weiwei Feng, Li Guo, Binxing Fang:
Evolving Chinese Restaurant Processes for Modeling Evolutionary Traces in Temporal Data. 79-91 - Cheng Li, Santu Rana, Dinh Q. Phung, Svetha Venkatesh:
Small-Variance Asymptotics for Bayesian Nonparametric Models with Constraints. 92-105 - Ying Kang, Bo Yu, Weiping Wang, Dan Meng:
Spectral Clustering for Large-Scale Social Networks via a Pre-Coarsening Sampling based NystrÖm Method. 106-118 - Yisroel Mirsky, Bracha Shapira, Lior Rokach, Yuval Elovici:
pcStream: A Stream Clustering Algorithm for Dynamically Detecting and Managing Temporal Contexts. 119-133 - Mohammed Ghesmoune, Mustapha Lebbah, Hanene Azzag:
Clustering Over Data Streams Based on Growing Neural Gas. 134-145 - Alfredo Cuzzocrea:
Computing and Mining ClustCube Cubes Efficiently. 146-161
Outlier and Anomaly Detection
- Alpa Jayesh Shah, Christian Desrosiers, Robert Sabourin:
Contextual Anomaly Detection Using Log-Linear Tensor Factorization. 165-176 - Zhaoxing Li, Xianchao Zhang, Hua Shen, Wenxin Liang, Zengyou He:
A Semi-Supervised Framework for Social Spammer Detection. 177-188 - Trung Le, Dinh Q. Phung, Khanh Nguyen, Svetha Venkatesh:
Fast One-Class Support Vector Machine for Novelty Detection. 189-200 - Maria Giatsoglou, Despoina Chatzakou, Neil Shah, Alex Beutel, Christos Faloutsos, Athena Vakali:
ND-Sync: Detecting Synchronized Fraud Activities. 201-214 - Lida Rashidi, Sutharshan Rajasegarar, Christopher Leckie:
An Embedding Scheme for Detecting Anomalous Block Structured Graphs. 215-227 - Jiawei Luo, Chengchen Liu, Tu Hoang Nguyen:
A Core-Attach Based Method for Identifying Protein Complexes in Dynamic PPI Networks. 228-239
Mining Uncertain and Imprecise Data
- Jiaqi Ge, Yuni Xia, Jian Wang:
Mining Uncertain Sequential Patterns in Iterative MapReduce. 243-254 - Shunsuke Kajimura, Yukino Baba, Hiroshi Kajino, Hisashi Kashima:
Quality Control for Crowdsourced POI Collection. 255-267 - Jiaqi Ge, Yuni Xia, Jian Wang:
Towards Efficient Sequential Pattern Mining in Temporal Uncertain Databases. 268-279 - Ha Thanh Huynh Nguyen, Jinli Cao:
Preference-Based Top-k Representative Skyline Queries on Uncertain Databases. 280-292 - Yoshiyuki Okada, Ken-ichi Fukui, Koichi Moriyama, Masayuki Numao:
Cluster Sequence Mining: Causal Inference with Time and Space Proximity Under Uncertainty. 293-304 - Dong Huang, Shuguo Han, Xiaoli Li:
Achieving Accuracy Guarantee for Answering Batch Queries with Differential Privacy. 305-316
Mining Temporal and Spatial Data
- Michael Horton, Joachim Gudmundsson, Sanjay Chawla, Joël Estephan:
Automated Classification of Passing in Football. 319-330 - Shivapratap Gopakumar, Tu Dinh Nguyen, Truyen Tran, Dinh Q. Phung, Svetha Venkatesh:
Stabilizing Sparse Cox Model Using Statistic and Semantic Structures in Electronic Medical Records. 331-343 - Meng Chen, Yang Liu, Xiaohui Yu:
Predicting Next Locations with Object Clustering and Trajectory Clustering. 344-356 - Lei Lv, Meng Chen, Yang Liu, Xiaohui Yu:
A Plane Moving Average Algorithm for Short-Term Traffic Flow Prediction. 357-369 - Wenxin Yang, Xin Wang, Seyyed Mohammadreza Rahimi, Jun Luo:
Recommending Profitable Taxi Travel Routes Based on Big Taxi Trajectories Data. 370-382 - Ahsanul Haque, Latifur Khan, Michael Baron:
Semi Supervised Adaptive Framework for Classifying Evolving Data Stream. 383-394
Mining Temp oral and Spatial Data
- Wenbin Qian, Wenhao Shu, Jun Yang, Yinglong Wang:
Cost-Sensitive Feature Selection on Heterogeneous Data. 397-408 - Pei-Yuan Zhou, Keith C. C. Chan:
A Feature Extraction Method for Multivariate Time Series Classification Using Temporal Patterns. 409-421 - Xuan Vinh Nguyen, Jeffrey Chan, James Bailey, Christopher Leckie, Kotagiri Ramamohanarao, Jian Pei:
Scalable Outlying-Inlying Aspects Discovery via Feature Ranking. 422-434 - Hoai An Le Thi, Phan Duy Nhat:
A DC Programming Approach for Sparse Optimal Scoring. 435-446 - Immanuel Bayer, Uwe Nagel, Steffen Rendle:
Graph Based Relational Features for Collective Classification. 447-458 - Thanh-Tung Nguyen, He Zhao, Joshua Zhexue Huang, Thuy Thi Nguyen, Mark Junjie Li:
A New Feature Sampling Method in Random Forests for Predicting High-Dimensional Data. 459-470
Mining Heterogeneous, High Dimensional, and Sequential Data
- Yangyang Zhao, Zhengya Sun, Changsheng Xu, Hongwei Hao:
Seamlessly Integrating Effective Links with Attributes for Networked Data Classification. 473-484 - Weixiang Shao, Lifang He, Philip S. Yu:
Clustering on Multi-source Incomplete Data via Tensor Modeling and Factorization. 485-497 - Seiya Tokui, Issei Sato, Hiroshi Nakagawa:
Locally Optimized Hashing for Nearest Neighbor Search. 498-509 - Noor Ifada, Richi Nayak:
Do-Rank: DCG Optimization for Learning-to-Rank in Tag-Based Item Recommendation Systems. 510-521 - Jin Wang, Rachel Cardell-Oliver, Wei Liu:
Efficient Discovery of Recurrent Routine Behaviours in Smart Meter Time Series by Growing Subsequences. 522-533 - Yi Zheng, Qi Liu, Enhong Chen, J. Leon Zhao, Liang He, Guangyi Lv:
Convolutional Nonlinear Neighbourhood Components Analysis for Time Series Classification. 534-546
Entity Resolution and Topic Modelling
- Thilina Ranbaduge, Dinusha Vatsalan, Peter Christen:
Clustering-Based Scalable Indexing for Multi-party Privacy-Preserving Record Linkage. 549-561 - Qing Wang, Dinusha Vatsalan, Peter Christen:
Efficient Interactive Training Selection for Large-Scale Entity Resolution. 562-573 - Banda Ramadan, Peter Christen:
Unsupervised Blocking Key Selection for Real-Time Entity Resolution. 574-585 - Liang Yao, Yin Zhang, Baogang Wei, Hongze Qian, Yibing Wang:
Incorporating Probabilistic Knowledge into Topic Models. 586-597 - Anton Slutsky, Xiaohua Hu, Yuan An:
Learning Focused Hierarchical Topic Models with Semi-Supervision in Microblogs. 598-609 - Yakub Sebastian, Eu-Gene Siew, Sylvester Olubolu Orimaye:
Predicting Future Links Between Disjoint Research Areas Using Heterogeneous Bibliographic Information Network. 610-621
Itemset and High Performance Data Mining
- Ted Gueniche, Philippe Fournier-Viger, Rajeev Raman, Vincent S. Tseng:
CPT+: Decreasing the Time/Space Complexity of the Compact Prediction Tree. 625-636 - Tayena Hendrickx, Boris Cule, Pieter Meysman, Stefan Naulaerts, Kris Laukens, Bart Goethals:
Mining Association Rules in Graphs Based on Frequent Cohesive Itemsets. 637-648 - Ying Chun Lin, Cheng-Wei Wu, Vincent S. Tseng:
Mining High Utility Itemsets in Big Data. 649-661 - Saïd Jabbour, Lakhdar Sais, Yakoub Salhi:
Decomposition Based SAT Encodings for Itemset Mining Problems. 662-674 - Yang Gao, Zhenlong Sun, Yi Wang, Xiaosheng Liu, Jianfeng Yan, Jia Zeng:
A Comparative Study on Parallel LDA Algorithms in MapReduce Framework. 675-689 - Yong Zhuang, Wei-Sheng Chin, Yu-Chin Juan, Chih-Jen Lin:
Distributed Newton Methods for Regularized Logistic Regression. 690-703
Recommendation
- Fangfang Li, Guandong Xu, Longbing Cao:
Coupled Matrix Factorization Within Non-IID Context. 707-719 - Saurabh Gupta, Sayan Pathak, Bivas Mitra:
Complementary Usage of Tips and Reviews for Location Recommendation in Yelp. 720-731 - Bin Fu, Guandong Xu, Longbing Cao, Zhihai Wang, Zhiang Wu:
Coupling Multiple Views of Relations for Recommendation. 732-743 - Huimin Qiu, Chunhong Zhang, Jiansong Miao:
Pairwise One Class Recommendation Algorithm. 744-755 - Guo Yan, Yuan Yao, Feng Xu, Jian Lu:
RIT: Enhancing Recommendation with Inferred Trust. 756-767
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