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ORCID21. PAKDD 2017: Jeju, South Korea
- Jinho Kim, Kyuseok Shim, Longbing Cao
, Jae-Gil Lee, Xuemin Lin, Yang-Sae Moon:
Advances in Knowledge Discovery and Data Mining - 21st Pacific-Asia Conference, PAKDD 2017, Jeju, South Korea, May 23-26, 2017, Proceedings, Part II. Lecture Notes in Computer Science 10235, 2017, ISBN 978-3-319-57528-5
Clustering and Anomaly Detection
- Pengda Qin, Weiran Xu, Jun Guo:
A Targeted Retraining Scheme of Unsupervised Word Embeddings for Specific Supervised Tasks. 3-14 - Fei Li, Meishan Zhang, Guohong Fu, Dong-Hong Ji:
A Neural Joint Model for Extracting Bacteria and Their Locations. 15-26 - Abdelkader Baggag, Halima Bensmail, Jaideep Srivastava:
Advanced Computation of Sparse Precision Matrices for Big Data. 27-38 - Weihao Cheng, Sarah M. Erfani, Rui Zhang, Kotagiri Ramamohanarao:
Accurate Recognition of the Current Activity in the Presence of Multiple Activities. 39-50 - Biru Cui, Shanchieh Jay Yang, Christopher M. Homan:
Modeling Information Sharing Behavior on Q&A Forums. 51-63 - Shuang Ao, Xiang Li, Charles X. Ling:
Effective Multiclass Transfer for Hypothesis Transfer Learning. 64-75 - Jian Hou, Wei-Xue Liu:
Clustering Based on Dominant Set and Cluster Expansion. 76-87
Recommender Systems
- Fei Yu, Nan Che, Zhijun Li, Kai Li, Shouxu Jiang:
Friend Recommendation Considering Preference Coverage in Location-Based Social Networks. 91-105 - Yan Chen, Margot Lisa-Jing Yann, Heidar Davoudi, Joy Choi, Aijun An, Zhen Mei:
Contrast Pattern Based Collaborative Behavior Recommendation for Life Improvement. 106-118 - Yonghong Yu, Hao Wang, Shuanzhu Sun, Yang Gao:
Exploiting Location Significance and User Authority for Point-of-Interest Recommendation. 119-130 - Jian Liu, Chuan Shi, Binbin Hu, Shenghua Liu, Philip S. Yu:
Personalized Ranking Recommendation via Integrating Multiple Feedbacks. 131-143 - Natwar Modani, Deepali Jain, Ujjawal Soni, Gaurav Kumar Gupta, Palak Agarwal:
Fairness Aware Recommendations on Behance. 144-155 - Huimin Lv, Fang Fang, Yishi Zhao, Yuanyuan Liu, Zhongwen Luo:
A Performance Evaluation Model for Taxi Cruising Path Recommendation System. 156-167 - Ge Cui, Xin Wang:
MaP2R: A Personalized Maximum Probability Route Recommendation Method Using GPS Trajectories. 168-180
Feature Selection
- Shuhan Yuan, Xintao Wu, Yang Xiang:
SNE: Signed Network Embedding. 183-195 - Alex Yuxuan Peng, Yun Sing Koh, Patricia Riddle:
mHUIMiner: A Fast High Utility Itemset Mining Algorithm for Sparse Datasets. 196-207 - Maciej Piernik, Tadeusz Morzy:
Partial Tree-Edit Distance: A Solution to the Default Class Problem in Pattern-Based Tree Classification. 208-219 - Heeyoung Kwon, Mirza Basim Baig, Leman Akoglu:
A Domain-Agnostic Approach to Spam-URL Detection via Redirects. 220-232 - Thinh Minh Do, Yasuko Matsubara, Yasushi Sakurai:
Automatic and Effective Mining of Coevolving Online Activities. 233-246 - Duc Anh Nguyen, Ngo Van Linh, Nguyen Kim Anh, Khoat Than:
Keeping Priors in Streaming Bayesian Learning. 247-258
Text and Opinion Mining
- Tomoya Iwakura:
Efficient Training of Adaptive Regularization of Weight Vectors for Semi-structured Text. 261-272 - Seyyed Mohammadreza Rahimi, Xin Wang, Behrouz Homayoun Far:
Behavior-Based Location Recommendation on Location-Based Social Networks. 273-285 - Abdelkader Ouali, Albrecht Zimmermann, Samir Loudni, Yahia Lebbah, Bruno Crémilleux, Patrice Boizumault, Lakhdar Loukil:
Integer Linear Programming for Pattern Set Mining; with an Application to Tiling. 286-299 - Zhigang Lu, Hong Shen:
Secured Privacy Preserving Data Aggregation with Semi-honest Servers. 300-312 - Wenhua Fang, Jun Chen, Ruimin Hu:
Efficient Pedestrian Detection in the Low Resolution via Sparse Representation with Sparse Support Regression. 313-323 - Anirban Sen, Manjira Sinha, Sandya Mannarswamy, Shourya Roy:
Multi-task Representation Learning for Enhanced Emotion Categorization in Short Text. 324-336 - Shreshtha Mundra, Anirban Sen, Manjira Sinha, Sandya Mannarswamy, Sandipan Dandapat, Shourya Roy:
Fine-Grained Emotion Detection in Contact Center Chat Utterances. 337-349 - Hai Ye, Zichao Yan, Zhunchen Luo, Wen-Han Chao:
Dependency-Tree Based Convolutional Neural Networks for Aspect Term Extraction. 350-362 - Jipeng Qiang, Ping Chen, Tong Wang, Xindong Wu:
Topic Modeling over Short Texts by Incorporating Word Embeddings. 363-374 - WeePheng Goh, Xiaohui Tao, Ji Zhang, Jianming Yong:
Mining Drug Properties for Decision Support in Dental Clinics. 375-387 - Yue Xue, Liutong Xu, Hai Huang, Yao Cheng:
PURE: A Novel Tripartite Model for Review Sentiment Analysis and Recommendation. 388-400
Clustering and Matrix Factorization
- Peng Zhao, Yuan Jiang, Zhi-Hua Zhou:
Multi-View Matrix Completion for Clustering with Side Information. 403-415 - Xiaolong Gong, Fuwei Wang, Linpeng Huang:
Weighted NMF-Based Multiple Sparse Views Clustering for Web Items. 416-428 - Tao Meng, Bo Yuan:
Parallel Visual Assessment of Cluster Tendency on GPU. 429-440 - Abdelhamid Boudane, Saïd Jabbour, Lakhdar Sais, Yakoub Salhi:
Clustering Complex Data Represented as Propositional Formulas. 441-452 - Sotirios P. Chatzis:
Deep Bayesian Matrix Factorization. 453-464
Dynamic, Stream Data Mining
- Junli Lu, Lizhen Wang, Yuan Fang, Momo Li:
Mining Competitive Pairs Hidden in Co-location Patterns from Dynamic Spatial Databases. 467-480 - Michael Bewong, Jixue Liu, Lin Liu, Jiuyong Li:
Utility Aware Clustering for Publishing Transactional Data. 481-494 - Kumar Dheenadayalan, Gopalakrishnan Srinivasaraghavan, V. N. Muralidhara:
Self-tuning Filers - Overload Prediction and Preventive Tuning Using Pruned Random Forest. 495-507 - Ximan Chen, Heli Sun, Hongxia Du, Jianbin Huang, Ke Liu:
A Centrality-Based Local-First Approach for Analyzing Overlapping Communities in Dynamic Networks. 508-520 - Shiyingxue Li, Shimpei Nomura, Yohei Kikuta, Kazuma Arino:
Web-Scale Personalized Real-Time Recommender System on Suumo. 521-538 - Ashay Tamhane, Sagar Arora, Deepak Warrier:
Modeling Contextual Changes in User Behaviour in Fashion e-Commerce. 539-550 - Lulu Wang, Hong Shen, Hui Tian:
Weighted Ensemble Classification of Multi-label Data Streams. 551-562
Novel Models and Algorithms
- Yen-Chieh Lien, Pu-Jen Cheng:
Improving One-Class Collaborative Filtering with Manifold Regularization by Data-driven Feature Representation. 565-577 - Thanh Dai Nguyen, Sunil Gupta, Santu Rana, Svetha Venkatesh:
Stable Bayesian Optimization. 578-591 - Chenglin Zeng, Laizhong Cui, Zhi Wang:
An Exponential Time-Aware Recommendation Model for Mobile Notification Services. 592-603 - R. Uday Kiran, J. N. Venkatesh, Philippe Fournier-Viger, Masashi Toyoda, P. Krishna Reddy, Masaru Kitsuregawa:
Discovering Periodic Patterns in Non-uniform Temporal Databases. 604-617 - Quan Do, Wei Liu, Fang Chen:
Discovering Both Explicit and Implicit Similarities for Cross-Domain Recommendation. 618-630 - Zhi Cheng, Frédéric Flouvat, Nazha Selmaoui-Folcher:
Mining Recurrent Patterns in a Dynamic Attributed Graph. 631-643 - Youcef Djenouri, Marco Comuzzi, Djamel Djenouri:
SS-FIM: Single Scan for Frequent Itemsets Mining in Transactional Databases. 644-654 - Qiuyang Liu, Shiliang Sun:
Multi-view Regularized Gaussian Processes. 655-667 - Ying Ding, Changlong Yu, Jing Jiang:
A Neural Network Model for Semi-supervised Review Aspect Identification. 668-680
Behavioral Data Mining
- Zhuoxuan Jiang, Shanshan Feng, Weizheng Chen, Guangtao Wang, Xiaoming Li:
Unsupervised Embedding for Latent Similarity by Modeling Heterogeneous MOOC Data. 683-695 - Teruaki Hayashi, Yukio Ohsawa:
Matrix-Based Method for Inferring Variable Labels Using Outlines of Data in Data Jackets. 696-707 - Guang-Neng Hu, Xinyu Dai:
Integrating Reviews into Personalized Ranking for Cold Start Recommendation. 708-720 - Kosetsu Tsukuda, Masataka Goto:
Taste or Addiction?: Using Play Logs to Infer Song Selection Motivation. 721-733 - Daisaku Yokoyama, Masashi Toyoda, Masaru Kitsuregawa:
Understanding Drivers' Safety by Fusing Large Scale Vehicle Recorder Dataset and Heterogeneous Circumstantial Data. 734-746
Graph Clustering and Community Detection
- Li-Yen Kuo, Chung-Kuang Chou, Ming-Syan Chen:
Query-oriented Graph Clustering. 749-761 - Prathyush Sambaturu, Kamalakar Karlapalem:
CCCG: Clique Conversion Ratio Driven Clustering of Graphs. 762-773 - Hongxia Du, Heli Sun, Jianbin Huang, Zhongbin Sun, Liang He, Hong Cheng:
Mining Cohesive Clusters with Interpretations in Labeled Graphs. 774-785 - Saïd Jabbour, Nizar Mhadhbi, Badran Raddaoui, Lakhdar Sais:
A SAT-Based Framework for Overlapping Community Detection in Networks. 786-798
Dimensionality Reduction
- Milad Leyli-Abadi, Lazhar Labiod, Mohamed Nadif:
Denoising Autoencoder as an Effective Dimensionality Reduction and Clustering of Text Data. 801-813 - Kyungjae Lee, Hyunsouk Cho, Seung-won Hwang:
Gradable Adjective Embedding for Commonsense Knowledge. 814-827 - Noureddine Yassine Nair Benrekia, Pascale Kuntz, Frank Meyer:
Combining Dimensionality Reduction with Random Forests for Multi-label Classification Under Interactivity Constraints. 828-839 - Jiuding Duan, Jiyi Li, Yukino Baba, Hisashi Kashima:
A Generalized Model for Multidimensional Intransitivity. 840-852
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