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ORCID25th PAKDD 2021: Virtual Event / Delhi, India
- Kamal Karlapalem
, Hong Cheng, Naren Ramakrishnan, R. K. Agrawal, P. Krishna Reddy, Jaideep Srivastava, Tanmoy Chakraborty:
Advances in Knowledge Discovery and Data Mining - 25th Pacific-Asia Conference, PAKDD 2021, Virtual Event, May 11-14, 2021, Proceedings, Part II. Lecture Notes in Computer Science 12713, Springer 2021, ISBN 978-3-030-75764-9
Classical Data Mining
- Md. Tanvir Alam, Chowdhury Farhan Ahmed, Md. Samiullah, Carson K. Leung:
Mining Frequent Patterns from Hypergraph Databases. 3-15 - Md. Tanvir Alam, Chowdhury Farhan Ahmed, Md. Samiullah, Carson K. Leung:
Discriminating Frequent Pattern Based Supervised Graph Embedding for Classification. 16-28 - Kashob Kumar Roy, Md Hasibul Haque Moon, Md Mahmudur Rahman, Chowdhury Farhan Ahmed, Carson K. Leung:
Mining Sequential Patterns in Uncertain Databases Using Hierarchical Index Structure. 29-41 - Stanislaw Czekalski, Mikolaj Morzy:
Similarity Forests Revisited: A Swiss Army Knife for Machine Learning. 42-53 - Shaokang Zhang, Lei Jiang, Huailiang Peng, Qiong Dai, Jianlong Tan:
Discriminative Representation Learning for Cross-Domain Sentiment Classification. 54-66 - Ming He, Tianyu Ding, Tianshuo Han:
SAGCN: Towards Structure-Aware Deep Graph Convolutional Networks on Node Classification. 67-78 - Aomar Osmani, Massinissa Hamidi, Pegah Alizadeh:
Hierarchical Learning of Dependent Concepts for Human Activity Recognition. 79-92 - Zhihao Ye, Rui Wen, Xi Chen, Ye Liu, Ziheng Zhang, Zhiyong Li, Ke Nai, Yefeng Zheng:
Improving Short Text Classification Using Context-Sensitive Representations and Content-Aware Extended Topic Knowledge. 93-105 - Keping Yan, Jun Guo, Weiqing Zhou:
A Novel Method for Offline Handwritten Chinese Character Recognition Under the Guidance of Print. 106-117 - Huan Zhao, Yingxue Gao, Yufeng Xiao:
Upgraded Attention-Based Local Feature Learning Block for Speech Emotion Recognition. 118-130 - Deep Patel, P. S. Sastry:
Memorization in Deep Neural Networks: Does the Loss Function Matter? 131-142 - Jaemin Yoo, Lee Sael:
Gaussian Soft Decision Trees for Interpretable Feature-Based Classification. 143-155 - Fan Wu, Duantengchuan Li, Ke Lin, Huawei Zhang:
Efficient Nodes Representation Learning with Residual Feature Propagation. 156-167 - Guanghui Zhu, Feng Cheng, Mengchuan Qiu, Zhuoer Xu, Wenjie Wang, Chunfeng Yuan, Yihua Huang:
Progressive AutoSpeech: An Efficient and General Framework for Automatic Speech Classification. 168-180 - Mani Sotoodeh, Li Xiong, Joyce Ho:
CrowdTeacher: Robust Co-teaching with Noisy Answers and Sample-Specific Perturbations for Tabular Data. 181-193 - Wentao Rong, Enhong Zhuo, Guihua Tao, Hongmin Cai:
Effective and Adaptive Refined Multi-metric Similarity Graph Fusion for Multi-view Clustering. 194-206 - Jiaxin Hu, Weixiong Rao, Qinpei Zhao:
aHCQ: Adaptive Hierarchical Clustering Based Quantization Framework for Deep Neural Networks. 207-218 - Yi Cui, Xianchao Zhang, Linlin Zong, Jie Mu:
Maintaining Consistency with Constraints: A Constrained Deep Clustering Method. 219-230
Data Mining Theory and Principles
- Dou El Kefel Mansouri, Khalid Benabdeslem:
Towards Multi-label Feature Selection by Instance and Label Selections. 233-244 - Wenbin Zhang, Albert Bifet, Xiangliang Zhang, Jeremy C. Weiss, Wolfgang Nejdl:
FARF: A Fair and Adaptive Random Forests Classifier. 245-256 - Ang Yang, Cheng Li, Santu Rana, Sunil Gupta, Svetha Venkatesh:
Sparse Spectrum Gaussian Process for Bayesian Optimization. 257-268 - Hongya Zhang, Zhen Huang, Zhenzhen Li, Dongsheng Li, Feng Liu:
Densely Connected Graph Attention Network Based on Iterative Path Reasoning for Document-Level Relation Extraction. 269-281 - Priscila Grecov, Kasun Bandara, Christoph Bergmeir, Klaus Ackermann, Sam Campbell, Deborah A. Scott, Dan I. Lubman:
Causal Inference Using Global Forecasting Models for Counterfactual Prediction. 282-294 - Qi Zhai, Zhigang Kan, Sen Yang, Linbo Qiao, Feng Liu, Dongsheng Li:
CED-BGFN: Chinese Event Detection via Bidirectional Glyph-Aware Dynamic Fusion Network. 295-307 - Xiaofan Wang:
Learning Finite Automata with Shuffle. 308-320 - Charini Nanayakkara, Peter Christen, Thilina Ranbaduge:
Active Learning Based Similarity Filtering for Efficient and Effective Record Linkage. 321-333 - Maximillian Merrillees, Lan Du:
Stratified Sampling for Extreme Multi-label Data. 334-345 - Kyohei Atarashi, Masakazu Ishihata:
Vertical Federated Learning for Higher-Order Factorization Machines. 346-357 - Masooma Iftikhar, Qing Wang:
dK-Projection: Publishing Graph Joint Degree Distribution with Node Differential Privacy. 358-370
Recommender Systems
- Xinzhou Dong, Beihong Jin, Wei Zhuo, Beibei Li, Taofeng Xue:
Improving Sequential Recommendation with Attribute-Augmented Graph Neural Networks. 373-385 - Yunhe Wei, Huifang Ma, Ruoyi Zhang, Zhixin Li, Liang Chang:
Exploring Implicit Relationships in Social Network for Recommendation Systems. 386-397 - Kevin Labille, Wen Huang, Xintao Wu:
Transferable Contextual Bandits with Prior Observations. 398-410 - Mengfei Zhang, Cheng Guo, Jiaqi Jin, Mao Pan, Jinyun Fang:
Modeling Hierarchical Intents and Selective Current Interest for Session-Based Recommendation. 411-422 - Shobhan Kumar, Arun Chauhan:
A Finetuned Language Model for Recommending cQA-QAs for Enriching Textbooks. 423-435 - Runlong Yu, Yuyang Ye, Qi Liu, Zihan Wang, Chunfeng Yang, Yucheng Hu, Enhong Chen:
XCrossNet: Feature Structure-Oriented Learning for Click-Through Rate Prediction. 436-447 - Mudit Agarwal, Naresh Manwani:
Learning Multiclass Classifier Under Noisy Bandit Feedback. 448-460 - Bin Hao, Min Zhang, Cheng Guo, Weizhi Ma, Yiqun Liu, Shaoping Ma:
Diversify or Not: Dynamic Diversification for Personalized Recommendation. 461-472 - Edgar Eduardo Ceh-Varela, Huiping Cao, Tuan M. V. Le:
Multi-criteria and Review-Based Overall Rating Prediction. 473-484 - Mao-Lin Li, K. Selçuk Candan:
W2FM: The Doubly-Warped Factorization Machine. 485-497 - Akira Tanimoto, Tomoya Sakai, Takashi Takenouchi, Hisashi Kashima:
Causal Combinatorial Factorization Machines for Set-Wise Recommendation. 498-509 - Sajal Halder, Kwan Hui Lim, Jeffrey Chan, Xiuzhen Zhang:
Transformer-Based Multi-task Learning for Queuing Time Aware Next POI Recommendation. 510-523 - Tianqi Shang, Xinxin Li, Xiaoyu Shi, Qingxian Wang:
Joint Modeling Dynamic Preferences of Users and Items Using Reviews for Sequential Recommendation. 524-536 - Kai Deng, Jiajin Huang, Jin Qin:
Box4Rec: Box Embedding for Sequential Recommendation. 537-548 - Antônio David Viniski, Jean Paul Barddal, Alceu de Souza Britto Jr.:
UKIRF: An Item Rejection Framework for Improving Negative Items Sampling in One-Class Collaborative Filtering. 549-560 - Shalini Pandey, George Karypis, Jaideep Srivastava:
IACN: Influence-Aware and Attention-Based Co-evolutionary Network for Recommendation. 561-574 - Xuan Li, Yunfeng Wu, Li Zhang:
Nonlinear Matrix Factorization via Neighbor Embedding. 575-587 - Junruo Gao, Mengyue Yang, Yuyang Liu, Jun Li:
Deconfounding Representation Learning Based on User Interactions in Recommendation Systems. 588-599 - Sirui Yao, Bert Huang:
Personalized Regularization Learning for Fairer Matrix Factorization. 600-611 - Thilina Thanthriwatta, David S. Rosenblum:
Instance Selection for Online Updating in Dynamic Recommender Environments. 612-624
Text Analytics
- Xiao Su, Ying Li, Zhonghai Wu:
Fusing Essential Knowledge for Text-Based Open-Domain Question Answering. 627-639 - Chengcheng Mai, Xueming Qiu, Kaiwen Luo, Min Chen, Bo Zhao, Yihua Huang:
TSSE-DMM: Topic Modeling for Short Texts Based on Topic Subdivision and Semantic Enhancement. 640-651 - Yunsen Hong, Hui Li, Yanghua Xiao, Ryan McBride, Chen Lin:
SILVER: Generating Persuasive Chinese Product Pitch. 652-663 - Ruizhuo Zhao, Jinhua Gao, Huawei Shen, Xueqi Cheng:
Capturing SQL Query Overlapping via Subtree Copy for Cross-Domain Context-Dependent SQL Generation. 664-675 - Shaohua Du, Zhihao Wu, Huaiyu Wan, Youfang Lin:
HScodeNet: Combining Hierarchical Sequential and Global Spatial Information of Text for Commodity HS Code Classification. 676-689 - Zehua Zeng, Neng Gao, Cong Xue, Chenyang Tu:
PLVCG: A Pretraining Based Model for Live Video Comment Generation. 690-702 - Amir Pouran Ben Veyseh, Franck Dernoncourt, Quan Hung Tran, Varun Manjunatha, Lidan Wang, Rajiv Jain, Doo Soon Kim, Walter Chang, Thien Huu Nguyen:
Inducing Rich Interaction Structures Between Words for Document-Level Event Argument Extraction. 703-715 - Szu-Yuan Cheng, Yi-Ling Chen, Mi-Yen Yeh, Bo-Tao Lin:
Exploiting Relevant Hyperlinks in Knowledge Base for Entity Linking. 716-729 - Haozhe Liu, Hongzhan Lin, Guang Chen:
TANTP: Conversational Emotion Recognition Using Tree-Based Attention Networks with Transformer Pre-training. 730-742 - Wenjun Ke, Jinhua Gao, Huawei Shen, Xueqi Cheng:
Semantic-Syntax Cascade Injection Model for Aspect Sentiment Triple Extraction. 743-755 - Haoliang Zhao, Yun Xue, Donghong Gu, Jianying Chen, Luwei Xiao:
Modeling Inter-aspect Relationship with Conjunction for Aspect-Based Sentiment Analysis. 756-767
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