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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 III. Lecture Notes in Computer Science 11441, Springer 2019, ISBN 978-3-030-16141-5
Representation Learning and Embedding
- Lei Sang, Min Xu
, Shengsheng Qian, Xindong Wu:
AAANE: Attention-Based Adversarial Autoencoder for Multi-scale Network Embedding. 3-14 - Dedong Li, Aimin Zhou, Chuan Shi:
NEAR: Normalized Network Embedding with Autoencoder for Top-K Item Recommendation. 15-26 - Quanyu Dai, Qiang Li, Liang Zhang, Dan Wang:
Ranking Network Embedding via Adversarial Learning. 27-39 - Jan Neerbek, Peter Dolog, Ira Assent:
Selective Training: A Strategy for Fast Backpropagation on Sentence Embeddings. 40-53 - Wei Fan, Huan Liu, Suge Wang, Yuxiang Zhang, Yaocheng Chang:
Extracting Keyphrases from Research Papers Using Word Embeddings. 54-67 - Tiehang Duan, Qi Lou, Sargur N. Srihari, Xiaohui Xie:
Sequential Embedding Induced Text Clustering, a Non-parametric Bayesian Approach. 68-80 - Chunyu Lu, Pengfei Jiao, Hongtao Liu, Yaping Wang, Hongyan Xu, Wenjun Wang:
SSNE: Status Signed Network Embedding. 81-93 - Ayan Kumar Bhowmick, Koushik Meneni, Bivas Mitra:
On the Network Embedding in Sparse Signed Networks. 94-106 - Ran Wang, Yang Song, Xinyu Dai:
MSNE: A Novel Markov Chain Sampling Strategy for Network Embedding. 107-118 - Runkun Lu, Jianwei Liu, Yuan-Fang Wang, Hao-jie Xie, Xin Zuo:
Auto-encoder Based Co-training Multi-view Representation Learning. 119-130 - Lan-Zhe Guo, Tao Han, Yufeng Li:
Robust Semi-supervised Representation Learning for Graph-Structured Data. 131-143 - Macario O. Cordel II, Arnulfo P. Azcarraga:
Characterizing the SOM Feature Detectors Under Various Input Conditions. 144-155 - Danhao Zhu, Xinyu Dai, Kaijia Yang, Jiajun Chen, Yong He:
PCANE: Preserving Context Attributes for Network Embedding. 156-168 - Guolei Sun, Xiangliang Zhang:
A Novel Framework for Node/Edge Attributed Graph Embedding. 169-182
Mining Unstructured and Semi-structured Data
- Kun Zhang, Guangyi Lv, Enhong Chen, Le Wu, Qi Liu, C. L. Philip Chen:
Context-Aware Dual-Attention Network for Natural Language Inference. 185-198 - Yaocheng Gui, Qian Liu, Tingming Lu, Zhiqiang Gao:
Best from Top k Versus Top 1: Improving Distant Supervision Relation Extraction with Deep Reinforcement Learning. 199-211 - Heng-Yi Li, Ming Li, Zhi-Hua Zhou:
Towards One Reusable Model for Various Software Defect Mining Tasks. 212-224 - Wei Wang, Hai-Tao Zheng, Hao Liu:
User Preference-Aware Review Generation. 225-236 - Gianni Costa, Riccardo Ortale:
Mining Cluster Patterns in XML Corpora via Latent Topic Models of Content and Structure. 237-248 - Haiming Chen, Yeting Li, Chunmei Dong, Xinyu Chu, Xiaoying Mou, Weidong Min:
A Large-Scale Repository of Deterministic Regular Expression Patterns and Its Applications. 249-261 - Imrul Chowdhury Anindya, Murat Kantarcioglu, Bradley A. Malin:
Determining the Impact of Missing Values on Blocking in Record Linkage. 262-274
Behavioral Data Mining
- Yiping Jin, Dittaya Wanvarie, Phu T. V. Le:
Bridging the Gap Between Research and Production with CODE. 277-288 - Qiang Cui, Yuyuan Tang, Shu Wu, Liang Wang:
Distance2Pre: Personalized Spatial Preference for Next Point-of-Interest Prediction. 289-301 - Jiaona Pang, Jun Guo, Wei Zhang:
Using Multi-objective Optimization to Solve the Long Tail Problem in Recommender System. 302-313 - Yan Wang, Jie Tang:
Event2Vec: Learning Event Representations Using Spatial-Temporal Information for Recommendation. 314-326 - Abolfazl Asudeh, Azade Nazi, Nick Koudas, Gautam Das:
Maximizing Gain over Flexible Attributes in Peer to Peer Marketplaces. 327-345 - Khoa D. Doan, Guolei Yang, Chandan K. Reddy:
An Attentive Spatio-Temporal Neural Model for Successive Point of Interest Recommendation. 346-358 - Ankur Garg, Aman Kharb, Yash H. Malviya, J. P. Sagar, Atanu R. Sinha, Iftikhar Ahamath Burhanuddin, Sunav Choudhary:
Mentor Pattern Identification from Product Usage Logs. 359-371
Visual Data Mining
- Qiankun Ye, Xiankai Lu, Hong Huo, Lihong Wan, Yiyou Guo, Tao Fang:
AggregationNet: Identifying Multiple Changes Based on Convolutional Neural Network in Bitemporal Optical Remote Sensing Images. 375-386 - Selvarajah Thuseethan, Sutharshan Rajasegarar, John Yearwood:
Detecting Micro-expression Intensity Changes from Videos Based on Hybrid Deep CNN. 387-399 - Ziwei Xie, Hailun Xia, Chunyan Feng:
A Multi-scale Recalibrated Approach for 3D Human Pose Estimation. 400-411 - Guangyi Lv, Tong Xu, Qi Liu, Enhong Chen, Weidong He, Mingxiao An, Zhongming Chen:
Gossiping the Videos: An Embedding-Based Generative Adversarial Framework for Time-Sync Comments Generation. 412-424 - Pengfei Zhu, Wenya Ma, Qinghua Hu:
Self-paced Robust Deep Face Recognition with Label Noise. 425-435 - Ze Tian, Ming Yang:
Multi-Constraints-Based Enhanced Class-Specific Dictionary Learning for Image Classification. 436-448 - Xiaobo Zhang, Yan Yang, Tianrui Li, Hao Wang, Ziqing He:
Discovering Senile Dementia from Brain MRI Using Ra-DenseNet. 449-460
Knowledge Graph and Interpretable Data Mining
- Sahar Behzadi, Katerina Hlavácková-Schindler, Claudia Plant:
Granger Causality for Heterogeneous Processes. 463-475 - Jun Yuan, Neng Gao, Ji Xiang, Chenyang Tu, Jingquan Ge:
Knowledge Graph Embedding with Order Information of Triplets. 476-488 - Pouya Ghiasnezhad Omran, Zhe Wang, Kewen Wang:
Knowledge Graph Rule Mining via Transfer Learning. 489-500 - Zhichun Wang, Yong Huang:
Knowledge Base Completion by Inference from Both Relational and Literal Facts. 501-513 - Yi Zhang, Zhijuan Du, Xiaofeng Meng:
EMT: A Tail-Oriented Method for Specific Domain Knowledge Graph Completion. 514-527 - Yin Zhang, Ninghao Liu, Shuiwang Ji, James Caverlee, Xia Hu:
An Interpretable Neural Model with Interactive Stepwise Influence. 528-540 - En-Yu Hsu, Chien-Liang Liu, Vincent S. Tseng:
Multivariate Time Series Early Classification with Interpretability Using Deep Learning and Attention Mechanism. 541-553
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