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ORCID23rd PAKDD 2019: Macau, China
- Qiang Yang, Zhi-Hua Zhou, Zhiguo Gong, Min-Ling Zhang, Sheng-Jun Huang:
Advances in Knowledge Discovery and Data Mining - 23rd Pacific-Asia Conference, PAKDD 2019, Macau, China, April 14-17, 2019, Proceedings, Part II. Lecture Notes in Computer Science 11440, Springer 2019, ISBN 978-3-030-16144-6
Deep Learning Models and Applications
- Qing Yin, Guan Luo
, Xiaodong Zhu, Qinghua Hu, Ou Wu:
Semi-interactive Attention Network for Answer Understanding in Reverse-QA. 3-15 - Wayne Xin Zhao, Hongjian Dou, Yuanpei Zhao, Daxiang Dong, Ji-Rong Wen:
Neural Network Based Popularity Prediction by Linking Online Content with Knowledge Bases. 16-28 - Lei Bai, Lina Yao, Salil S. Kanhere, Zheng Yang, Jing Chu, Xianzhi Wang:
Passenger Demand Forecasting with Multi-Task Convolutional Recurrent Neural Networks. 29-42 - Ziyi Wang, Chun Li, Lin Shang:
Accurate Identification of Electrical Equipment from Power Load Profiles. 43-55 - Manqing Dong, Lina Yao, Xianzhi Wang, Boualem Benatallah, Chaoran Huang:
Similarity-Aware Deep Attentive Model for Clickbait Detection. 56-69 - Hao Liu, Hai-Tao Zheng, Wei Wang:
Topic Attentional Neural Network for Abstractive Document Summarization. 70-81 - Yinghua Zhang, Yu Zhang, Qiang Yang:
Parameter Transfer Unit for Deep Neural Networks. 82-95 - Yifeng Zhao, Jie Tang, Zhengxiao Du:
EFCNN: A Restricted Convolutional Neural Network for Expert Finding. 96-107 - Garima Gupta, Vishal Sunder, Ranjitha Prasad, Gautam Shroff:
CRESA: A Deep Learning Approach to Competing Risks, Recurrent Event Survival Analysis. 108-122 - Chih-Hsin Chou, Yu Huang, Chian-Yun Huang, Vincent S. Tseng:
Long-Term Traffic Time Prediction Using Deep Learning with Integration of Weather Effect. 123-135 - Fan Liu, Xingshe Zhou, Jinli Cao, Zhu Wang, Hua Wang, Yanchun Zhang:
Arrhythmias Classification by Integrating Stacked Bidirectional LSTM and Two-Dimensional CNN. 136-149 - David Kao, Kuan-Ting Lai, Ming-Syan Chen:
An Efficient and Resource-Aware Hashtag Recommendation Using Deep Neural Networks. 150-162 - Sein Minn, Michel C. Desmarais, Feida Zhu, Jing Xiao, Jianzong Wang:
Dynamic Student Classiffication on Memory Networks for Knowledge Tracing. 163-174 - Nan Xu, Guanjie Zheng, Kai Xu, Yanmin Zhu, Zhenhui Li:
Targeted Knowledge Transfer for Learning Traffic Signal Plans. 175-187
Sequential Pattern Mining
- R. Uday Kiran, T. Yashwanth Reddy, Philippe Fournier-Viger, Masashi Toyoda, P. Krishna Reddy, Masaru Kitsuregawa:
Efficiently Finding High Utility-Frequent Itemsets Using Cutoff and Suffix Utility. 191-203 - Chaochao Chen, Ziqi Liu, Jun Zhou, Xiaolong Li, Yuan Qi, Yujing Jiao, Xingyu Zhong:
How Much Can A Retailer Sell? Sales Forecasting on Tmall. 204-216 - Chun-Hao Liu, Da-Cheng Juan, Xuan-An Tseng, Wei Wei, Yu-Ting Chen, Jia-Yu Pan, Shih-Chieh Chang:
Hierarchical LSTM: Modeling Temporal Dynamics and Taxonomy in Location-Based Mobile Check-Ins. 217-228 - Yongzhe Chang, Zhidong Li, Bang Zhang, Ling Luo, Arcot Sowmya, Yang Wang, Fang Chen:
Recovering DTW Distance Between Noise Superposed NHPP. 229-241 - Chengzhen Fu, Yuntao Li, Yan Zhang:
ATNet: Answering Cloze-Style Questions via Intra-attention and Inter-attention. 242-252 - Chun-Han Lin, Cheng-Wei Wu, JianTao Huang, Vincent S. Tseng:
Parallel Mining of Top-k High Utility Itemsets in Spark In-Memory Computing Architecture. 253-265
Weakly Supervised Learning
- Lijuan Sun, Songhe Feng, Gengyu Lyu, Congyan Lang:
Robust Semi-supervised Multi-label Learning by Triple Low-Rank Regularization. 269-280 - Baige Tang, Li Zhang:
Multi-class Semi-supervised Logistic I-RELIEF Feature Selection Based on Nearest Neighbor. 281-292 - Wenzhou Zhang, Weiwei Li, Xiuyi Jia:
Effort-Aware Tri-Training for Semi-supervised Just-in-Time Defect Prediction. 293-304 - Xianchao Zhang, Jinlong Nie, Linlin Zong, Hong Yu, Wenxin Liang:
One Shot Learning with Margin. 305-317 - Heng-Yi Li, Shu-Ting Shi, Ferdian Thung, Xuan Huo, Bowen Xu, Ming Li, David Lo:
DeepReview: Automatic Code Review Using Deep Multi-instance Learning. 318-330 - Ningzhao Sun, Jincheng Shan, Chenping Hou:
Multi-label Active Learning with Error Correcting Output Codes. 331-342 - Congqing He, Li Peng, Yuquan Le, Jiawei He:
Dynamically Weighted Multi-View Semi-Supervised Learning for CAPTCHA. 343-354
Recommender System
- Bo Pang, Min Yang, Chongjun Wang:
A Novel Top-N Recommendation Approach Based on Conditional Variational Auto-Encoder. 357-368 - Jiangfei Cheng, Li Zhang:
Jaccard Coefficient-Based Bi-clustering and Fusion Recommender System for Solving Data Sparsity. 369-380 - Huifeng Guo, Ruiming Tang, Yunming Ye, Feng Liu, Yuzhou Zhang:
A Novel KNN Approach for Session-Based Recommendation. 381-393 - Chenyu Zhang, Hao Wang, Shangdong Yang, Yang Gao:
A Contextual Bandit Approach to Personalized Online Recommendation via Sparse Interactions. 394-406 - Zhicheng He, Jie Liu, Guanghui Xu, Yalou Huang:
Heterogeneous Item Recommendation for the Air Travel Industry. 407-419 - Zongwei Wang, Min Gao, Xinyi Wang, Junliang Yu, Junhao Wen, Qingyu Xiong:
A Minimax Game for Generative and Discriminative Sample Models for Recommendation. 420-431 - Jianbin Lin, Daixin Wang, Lu Guan, Yin Zhao, Binqiang Zhao, Jun Zhou, Xiaolong Li, Yuan (Alan) Qi:
RNE: A Scalable Network Embedding for Billion-Scale Recommendation. 432-445
Social Network and Graph Mining
- Faming Li, Zhaonian Zou, Jianzhong Li, Yingshu Li:
Graph Compression with Stars. 449-461 - Chi Zhang, Osmar R. Zaïane:
Neighbor-Based Link Prediction with Edge Uncertainty. 462-474 - Pei Zhang, Ke-Jia Chen, Tong Wu:
Inferring Social Bridges that Diffuse Information Across Communities. 475-487 - Gaëtan Caillaut, Guillaume Cleuziou, Nicolas Dugué:
Learning Pretopological Spaces to Extract Ego-Centered Communities. 488-500 - Jiabao Zhang, Shenghua Liu, Wenjian Yu, Wenjie Feng, Xueqi Cheng:
EigenPulse: Detecting Surges in Large Streaming Graphs with Row Augmentation. 501-513 - Yang Xiao, Hong Huang, Feng Zhao, Hai Jin:
TPLP: Two-Phase Selection Link Prediction for Vertex in Graph Streams. 514-525 - Charini Nanayakkara, Peter Christen, Thilina Ranbaduge:
Robust Temporal Graph Clustering for Group Record Linkage. 526-538
Data Pre-processing and Feature Selection
- Junsheng Liang, Zhiqiang Li, Hongchen Guo:
Learning Diversified Features for Object Detection via Multi-region Occlusion Example Generating. 541-552 - Xiaojie Liu, Guangxuan Song, Xiaoling Wang:
HATDC: A Holistic Approach for Time Series Data Repairing. 553-564 - Jianwei Zheng, Kechen Lou, Ping Yang, Wanjun Chen, Wanliang Wang:
Double Weighted Low-Rank Representation and Its Efficient Implementation. 565-577 - Nai-Yun Cheng, Ming-Syan Chen:
Exploring Dual-Triangular Structure for Efficient R-Initiated Tall-Skinny QR on GPGPU. 578-589 - Elias Jääsaari, Ville Hyvönen, Teemu Roos:
Efficient Autotuning of Hyperparameters in Approximate Nearest Neighbor Search. 590-602 - Peng Ni, Suyun Zhao, Hong Chen, Cuiping Li:
An Accelerator of Feature Selection Applying a General Fuzzy Rough Model. 603-614 - Longxuan Ma, Lei Zhang:
Text Feature Extraction and Selection Based on Attention Mechanism. 615-627
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