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ORCID24th PAKDD 2020: Singapore
- Hady W. Lauw
, Raymond Chi-Wing Wong, Alexandros Ntoulas, Ee-Peng Lim, See-Kiong Ng, Sinno Jialin Pan:
Advances in Knowledge Discovery and Data Mining - 24th Pacific-Asia Conference, PAKDD 2020, Singapore, May 11-14, 2020, Proceedings, Part II. Lecture Notes in Computer Science 12085, Springer 2020, ISBN 978-3-030-47435-5
Mining Sequential Data
- Andre Mendes, Julian Togelius, Leandro dos Santos Coelho:
Adversarial Autoencoder and Multi-Task Semi-Supervised Learning for Multi-stage Process. 3-16 - Ocean Wu, Yun Sing Koh, Gillian Dobbie, Thomas Lacombe:
PEARL: Probabilistic Exact Adaptive Random Forest with Lossy Counting for Data Streams. 17-30 - Xuanming Liu, Tingjian Ge:
Mining Dynamic Graph Streams for Predictive Queries Under Resource Constraints. 31-43 - Redwan Ahmed Rizvee, Mohammad Fahim Arefin, Chowdhury Farhan Ahmed:
Tree-Miner: Mining Sequential Patterns from SP-Tree. 44-56 - Ajitesh Srivastava, Ta-Yang Wang, Pengmiao Zhang, César Augusto Fonticielha De Rose, Rajgopal Kannan, Viktor K. Prasanna:
MemMAP: Compact and Generalizable Meta-LSTM Models for Memory Access Prediction. 57-68
Mining Imbalanced Data
- Md. Eusha Kadir, Pritom Saha Akash, Sadia Sharmin, Amin Ahsan Ali, Mohammad Shoyaib:
A Proximity Weighted Evidential k Nearest Neighbor Classifier for Imbalanced Data. 71-83 - Jiawen Kong, Thiago Rios, Wojtek Kowalczyk, Stefan Menzel, Thomas Bäck:
On the Performance of Oversampling Techniques for Class Imbalance Problems. 84-96
Association
- Philippe Fournier-Viger, Yanjun Yang, Jerry Chun-Wei Lin, Jaroslav Frnda:
Mining Locally Trending High Utility Itemsets. 99-111 - Alexandre Millot, Rémy Cazabet, Jean-François Boulicaut:
Optimal Subgroup Discovery in Purely Numerical Data. 112-124
Privacy and Security
- Zhaoxin Huan, Yulong Wang, Xiaolu Zhang, Lin Shang, Chilin Fu, Jun Zhou:
Data-Free Adversarial Perturbations for Practical Black-Box Attack. 127-138 - Thilina Ranbaduge, Peter Christen, Rainer Schnell:
Secure and Accurate Two-Step Hash Encoding for Privacy-Preserving Record Linkage. 139-151 - Leyla Roohi, Benjamin I. P. Rubinstein, Vanessa Teague:
Assessing Centrality Without Knowing Connections. 152-163 - Tuan Nguyen, Trung Le, Khanh Nguyen, Olivier Y. de Vel, Paul Montague, John C. Grundy, Dinh Phung:
Deep Cost-Sensitive Kernel Machine for Binary Software Vulnerability Detection. 164-177 - Junyao Huang, Chenhui Lu, Guolou Ping, Lin Sun, Xiaojun Ye:
TCN-ATT: A Non-recurrent Model for Sequence-Based Malware Detection. 178-190 - Masooma Iftikhar, Qing Wang, Yu Lin:
dK-Microaggregation: Anonymizing Graphs with Differential Privacy Guarantees. 191-203
Supervised Learning
- Yongfeng Huang, Xueyang Li, Cairong Yan, Lihao Liu, Hao Dai:
MIRD-Net for Medical Image Segmentation. 207-219 - Amila Silva, Pei-Chi Lo, Ee-Peng Lim:
JPLink: On Linking Jobs to Vocational Interest Types. 220-232 - Viet Dac Lai, Franck Dernoncourt, Thien Huu Nguyen:
Exploiting the Matching Information in the Support Set for Few Shot Event Classification. 233-245 - Xu Zhang, Wenpeng Lu, Guoqiang Zhang, Fangfang Li, Shoujin Wang:
Chinese Sentence Semantic Matching Based on Multi-Granularity Fusion Model. 246-257
Novel Algorithms
- Joonyoung Kim, Donghyeon Lee, Kyomin Jung:
Reliable Aggregation Method for Vector Regression Tasks in Crowdsourcing. 261-273 - Chun-Yao Kang, Ming-Syan Chen:
Balancing Exploration and Exploitation in Self-imitation Learning. 274-285 - Cong Zhou, Han Yu:
Mask-Guided Region Attention Network for Person Re-Identification. 286-298 - Han Zhu, Jing Zhao, Shiliang Sun:
Multi-view Deep Gaussian Process with a Pre-training Acceleration Technique. 299-311
Mining Multi-Media/Multi-Dimensional Data
- Peng-Fei Zhang, Zi Huang, Zheng Zhang:
Semantics-Reconstructing Hashing for Cross-Modal Retrieval. 315-327 - Menasha Thilakaratne, Katrina Falkner, Thushari Atapattu:
Connecting the Dots: Hypotheses Generation by Leveraging Semantic Shifts. 328-340 - Mihir Mongia, Benjamin Soudry, Arash Gholami Davoodi, Hosein Mohimani:
Efficient Database Search via Tensor Distribution Bucketing. 341-353 - Xinyi Zhou, Jindi Wu, Reza Zafarani:
SAFE: Similarity-Aware Multi-modal Fake News Detection. 354-367
Application
- Xi Qiu, Shen Liang, Yanchun Zhang:
Simultaneous ECG Heartbeat Segmentation and Classification with Feature Fusion and Long Term Context Dependencies. 371-383 - Ying Xu, Campbell Wilson, André Leier, Tatiana T. Marquez-Lago, James C. Whisstock, Jiangning Song:
PhosTransfer: A Deep Transfer Learning Framework for Kinase-Specific Phosphorylation Site Prediction in Hierarchy. 384-395 - Yuwei Cao, Hao Peng, Philip S. Yu:
Multi-information Source HIN for Medical Concept Embedding. 396-408 - Harrison Nguyen, Simon Luo, Fabio Ramos:
Semi-supervised Learning Approach to Generate Neuroimaging Modalities with Adversarial Training. 409-421 - Jinyuan He, Jia Rong, Le Sun, Hua Wang, Yanchun Zhang:
An Advanced Two-Step DNN-Based Framework for Arrhythmia Detection. 422-434 - Sharanya Eswaran, Vikram Vimal, Deepanshi Seth, Tridib Mukherjee:
GAIM: Game Action Information Mining Framework for Multiplayer Online Card Games (Rummy as Case Study). 435-448 - Ruixi Zhang, Remmy A. M. Zen, Jifang Xing, Dewa Made Sri Arsa, Abhishek Saha, Stéphane Bressan:
Hydrological Process Surrogate Modelling and Simulation with Neural Networks. 449-461 - Qi Zhong, Leo Yu Zhang, Jun Zhang, Longxiang Gao, Yong Xiang:
Protecting IP of Deep Neural Networks with Watermarking: A New Label Helps. 462-474 - Kun Zhou, Wayne Xin Zhao, Yutao Zhu, Ji-Rong Wen, Jingsong Yu:
Improving Multi-turn Response Selection Models with Complementary Last-Utterance Selection by Instance Weighting. 475-486 - Dilusha Weeraddana, Harini Hapuarachchi, Lakshitha Kumarapperuma, Nguyen Lu Dang Khoa, Chen Cai:
Long-Term Water Pipe Condition Assessment: A Semiparametric Model Using Gaussian Process and Survival Analysis. 487-499 - Nausheen Fatma, Vijay Choudhary, Niharika Sachdeva, Nitendra Rajput:
Canonicalizing Knowledge Bases for Recruitment Domain. 500-513 - Sundong Kim, Hwanjun Song, Sejin Kim, Beomyoung Kim, Jae-Gil Lee:
Revisit Prediction by Deep Survival Analysis. 514-526
Mining Graph and Network Data
- Tianshu Lyu, Fei Sun, Yan Zhang:
Node Conductance: A Scalable Node Centrality Measure on Big Networks. 529-541 - Ming Zhao, Weijia Jia, Yusheng Huang:
Attention-Based Aggregation Graph Networks for Knowledge Graph Information Transfer. 542-554 - Hogun Park, Jennifer Neville:
Role Equivalence Attention for Label Propagation in Graph Neural Networks. 555-567 - Jia-Qi Yang, De-Chuan Zhan, Xin-Chun Li:
Bottom-Up and Top-Down Graph Pooling. 568-579 - Dongjun Wei, Yaxin Liu, Fuqing Zhu, Liangjun Zang, Wei Zhou, Yijun Lu, Songlin Hu:
AutoSUM: Automating Feature Extraction and Multi-user Preference Simulation for Entity Summarization. 580-592 - Bhagya Hettige, Weiqing Wang, Yuan-Fang Li, Wray L. Buntine:
Robust Attribute and Structure Preserving Graph Embedding. 593-606 - Prasanna Patil, Govind Sharma, M. Narasimha Murty:
Negative Sampling for Hyperlink Prediction in Networks. 607-619 - Dattatreya Mohapatra, Siddharth Pal, Soham De, Ponnurangam Kumaraguru, Tanmoy Chakraborty:
Modeling Citation Trajectories of Scientific Papers. 620-632 - Heeyoung Kwak, Minwoo Lee, Seunghyun Yoon, Jooyoung Chang, Sang Min Park, Kyomin Jung:
Drug-Disease Graph: Predicting Adverse Drug Reaction Signals via Graph Neural Network with Clinical Data. 633-644
Anomaly Detection and Analytics
- Bo Chen, Kai Ming Ting, Tat-Jun Chin:
Anomaly Detection via Neighbourhood Contrast. 647-659 - Sha Lu, Lin Liu, Jiuyong Li, Thuc Duy Le, Jixue Liu:
LoPAD: A Local Prediction Approach to Anomaly Detection. 660-673 - Yoshinao Ishii, Satoshi Koide, Keiichiro Hayakawa:
L0-norm Constrained Autoencoders for Unsupervised Outlier Detection. 674-687 - Haoyi Fan, Fengbin Zhang, Ruidong Wang, Liang Xi, Zuoyong Li:
Correlation-Aware Deep Generative Model for Unsupervised Anomaly Detection. 688-700 - Hagit Grushka-Cohen, Ofer Biller, Oded Sofer, Lior Rokach, Bracha Shapira:
Using Bandits for Effective Database Activity Monitoring. 701-713
Mining Spatial, Temporal, Unstructured and Semi-structured Data
- Shuhei Yamamoto, Takeshi Kurashima, Hiroyuki Toda:
Identifying Near-Miss Traffic Incidents in Event Recorder Data. 717-728 - Wei Duan, Lin Li, Yi Yu:
A Relation Learning Hierarchical Framework for Multi-label Charge Prediction. 729-741 - Sahar Behzadi, Benjamin Schelling, Claudia Plant:
ITGH: Information-Theoretic Granger Causal Inference on Heterogeneous Data. 742-755 - Nghia Trung Ngo, Tuan Ngo Nguyen, Thien Huu Nguyen:
Learning to Select Important Context Words for Event Detection. 756-768 - Yeting Li, Haiming Chen, Lingqi Zhang, Bo Huang, Jianzhao Zhang:
Inferring Restricted Regular Expressions with Interleaving from Positive and Negative Samples. 769-781
Sentiment Analysis
- Tao Jiang, Jiahai Wang, Zhiyue Liu, Yingbiao Ling:
Fusion-Extraction Network for Multimodal Sentiment Analysis. 785-797 - Jingjing Zhao, Yao Yang, Guansong Pang, Lei Lv, Hong Shang, Zhongqian Sun, Wei Yang:
Learning Discriminative Neural Sentiment Units for Semi-supervised Target-Level Sentiment Classification. 798-810 - Ning Li, Chi-Yin Chow, Jia-Dong Zhang:
EMOVA: A Semi-supervised End-to-End Moving-Window Attentive Framework for Aspect Mining. 811-823
Statistical/Graphical Model
- Manisha Senadeera, Santu Rana, Sunil Gupta, Svetha Venkatesh:
Level Set Estimation with Search Space Warping. 827-839 - Joaquim F. Silva, José C. Cunha:
An Empirical Model for n-gram Frequency Distribution in Large Corpora. 840-851
Multi-source/Distributed/Parallel/Cloud Computing
- Xin-Chun Li, De-Chuan Zhan, Jia-Qi Yang, Yi Shi, Cheng Hang, Yi Lu:
Towards Understanding Transfer Learning Algorithms Using Meta Transfer Features. 855-866 - Faisal M. Almutairi, Charilaos I. Kanatsoulis, Nicholas D. Sidiropoulos:
Tendi: Tensor Disaggregation from Multiple Coarse Views. 867-880 - Kankan Zhao, Jing Zhang, Liangfu Zhang, Cuiping Li, Hong Chen:
A Distributed Coordinate Descent Algorithm for Learning Factorization Machine. 881-893 - Mohsan Jameel, Shayan Jawed, Lars Schmidt-Thieme:
Optimal Topology Search for Fast Model Averaging in Decentralized Parallel SGD. 894-905 - Sisheng Liang, Zhou Yang, Fang Jin, Yong Chen:
Data Centers Job Scheduling with Deep Reinforcement Learning. 906-917
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