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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 I. Lecture Notes in Computer Science 12712, Springer 2021, ISBN 978-3-030-75761-8
Applications of Knowledge Discovery
- Minzhong Luo:
Fuzzy World: A Tool Training Agent from Concept Cognitive to Logic Inference. 3-14 - Ritwik Chaudhuri, Kushal Mukherjee, Ramasuri Narayanam, Rohith Dwarakanath Vallam:
Collaborative Reinforcement Learning Framework to Model Evolution of Cooperation in Sequential Social Dilemmas. 15-26 - Farimah Poursafaei, Reihaneh Rabbany, Zeljko Zilic:
SigTran: Signature Vectors for Detecting Illicit Activities in Blockchain Transaction Networks. 27-39 - Vijdan Khalique, Hiroyuki Kitagawa:
VOA*: Fast Angle-Based Outlier Detection over High-Dimensional Data Streams. 40-52 - Zhen Wang, Ji Zhang, Yizheng Chen, Chenhao Lu, Jerry Chun-Wei Lin, Jing Xiao, Rage Uday Kiran:
Learning Probabilistic Latent Structure for Outlier Detection from Multi-view Data. 53-65 - Yi Wan, Yilin Liu, Dong Wang, Yujin Wen:
GLAD-PAW: Graph-Based Log Anomaly Detection by Position Aware Weighted Graph Attention Network. 66-77 - Xiaobing Sun, Jiabao Zhang, Qiming Zhao, Shenghua Liu, Jinglei Chen, Ruoyu Zhuang, Huawei Shen, Xueqi Cheng:
CubeFlow: Money Laundering Detection with Coupled Tensors. 78-90 - Hamed Sarvari, Carlotta Domeniconi, Bardh Prenkaj, Giovanni Stilo:
Unsupervised Boosting-Based Autoencoder Ensembles for Outlier Detection. 91-103 - Chufu Deng, Kuilin Li, Zhiguang Chen:
Unsupervised Domain Adaptation for 3D Medical Image with High Efficiency. 104-116 - Lin Wang, MingMing Liu, WenQian He, Xu Jin, Maoqiang Xie, Yalou Huang:
A Hierarchical Structure-Aware Embedding Method for Predicting Phenotype-Gene Associations. 117-128 - Jagadish D. N., Arun Chauhan, Lakshman Mahto:
Autonomous Vehicle Path Prediction Using Conditional Variational Autoencoder Networks. 129-139 - Yizhen Zheng, Vincent C. S. Lee, Zonghan Wu, Shirui Pan:
Heterogeneous Graph Attention Network for Small and Medium-Sized Enterprises Bankruptcy Prediction. 140-151 - Jonas Hanselle, Alexander Tornede, Marcel Wever, Eyke Hüllermeier:
Algorithm Selection as Superset Learning: Constructing Algorithm Selectors from Imprecise Performance Data. 152-163 - Vineela Indla, Vennela Indla, Sai Narayanan, Akhilesh Ramachandran, Arunkumar Bagavathi, Vishalini Laguduva Ramnath, Sathyanarayanan N. Aakur:
Sim2Real for Metagenomes: Accelerating Animal Diagnostics with Adversarial Co-training. 164-175 - Chia-Chih Lin, Ming-Syan Chen:
Attack Is the Best Defense: A Multi-Mode Poisoning PUF Against Machine Learning Attacks. 176-187 - Rachit Bansal, William Scott Paka, Nidhi, Shubhashis Sengupta, Tanmoy Chakraborty:
Combining Exogenous and Endogenous Signals with a Semi-supervised Co-attention Network for Early Detection of COVID-19 Fake Tweets. 188-200 - Ignacio Segovia-Dominguez, Zhiwei Zhen, Rishabh Wagh, Huikyo Lee, Yulia R. Gel:
TLife-LSTM: Forecasting Future COVID-19 Progression with Topological Signatures of Atmospheric Conditions. 201-212 - Zifeng Wang, Yifan Yang, Rui Wen, Xi Chen, Shao-Lun Huang, Yefeng Zheng:
Lifelong Learning Based Disease Diagnosis on Clinical Notes. 213-224 - Jeshuren Chelladurai, Sudarsun Santhiappan, Balaraman Ravindran:
GrabQC: Graph Based Query Contextualization for Automated ICD Coding. 225-237 - Yan Kong, Bin Xu, Bowen Zhao, Ji Qi:
Deep Gaussian Mixture Model on Multiple Interpretable Features of Fetal Heart Rate for Pregnancy Wellness. 238-250 - Zi Chai, Xiaojun Wan:
Adverse Drug Events Detection, Extraction and Normalization from Online Comments of Chinese Patent Medicines. 251-262 - Boyu Li, Ting Guo, Yang Wang, Amir H. Gandomi, Fang Chen:
Adaptive Graph Co-Attention Networks for Traffic Forecasting. 263-276 - Frances Cameron-Muller, Dilusha Weeraddana, Raghav Chalapathy, Nguyen Lu Dang Khoa:
Dual-Stage Bayesian Sequence to Sequence Embeddings for Energy Demand Forecasting. 277-289 - Dong Zhu, Chengkun Wu, Chuanfu Xu, Zhenghua Wang:
AA-LSTM: An Adversarial Autoencoder Joint Model for Prediction of Equipment Remaining Useful Life. 290-301
Data Mining of Specialized Data
- Jayesh Choudhari, Srikanta Bedathur, Indrajit Bhattacharya, Anirban Dasgupta:
Analyzing Topic Transitions in Text-Based Social Cascades Using Dual-Network Hawkes Process. 305-319 - Luis Galárraga, Olivier Pelgrin, Alexandre Termier:
HiPaR: Hierarchical Pattern-Aided Regression. 320-332 - Atri Mandal, Saranya Gupta, Shivali Agarwal, Prateeti Mohapatra:
Improved Topology Extraction Using Discriminative Parameter Mining of Logs. 333-345 - Zijian Wang, Hao Wang, Xiangfeng Luo, Jianqi Gao:
Back to Prior Knowledge: Joint Event Causality Extraction via Convolutional Semantic Infusion. 346-357 - Susheela Polepalli, Raj Bhatnagar:
A k-MCST Based Algorithm for Discovering Core-Periphery Structures in Graphs. 358-370 - Da-Wei Zhou, Yang Yang, De-Chuan Zhan:
Detecting Sequentially Novel Classes with Stable Generalization Ability. 371-382 - Ding Li, Wenzhong Li, Yizhou Chen, Mingkai Lin, Sanglu Lu:
Learning-Based Dynamic Graph Stream Sketch. 383-394 - Giulia Preti, Polina Rozenshtein, Aristides Gionis, Yannis Velegrakis:
Discovering Dense Correlated Subgraphs in Dynamic Networks. 395-407 - Zhezhou Kang, Yanan Cao, Yanmin Shang, Tao Liang, Hengzhu Tang, Lingling Tong:
Fake News Detection with Heterogenous Deep Graph Convolutional Network. 408-420 - Xiaochen Liu, Weiguo Zheng, Zhenyi Chen, Zhenying He, X. Sean Wang:
Incrementally Finding the Vertices Absent from the Maximum Independent Sets. 421-433 - Shu Li, Nayyar Abbas Zaidi, Qingyun Liu, Gang Li:
Neighbours and Kinsmen: Hateful Users Detection with Graph Neural Network. 434-446 - Naganand Yadati, Tingran Gao, Shahab Asoodeh, Partha P. Talukdar, Anand Louis:
Graph Neural Networks for Soft Semi-Supervised Learning on Hypergraphs. 447-458 - Haiyang Wang, Xin Song, Yujia Liu, Chenguang Chen, Bin Zhou:
A Meta-path Based Graph Convolutional Network with Multi-scale Semantic Extractions for Heterogeneous Event Classification. 459-471 - Reyhaneh Abdolazimi, Reza Zafarani:
Noise-Enhanced Unsupervised Link Prediction. 472-487 - Ting Guo, Xingquan Zhu, Yang Wang, Fang Chen:
Weak Supervision Network Embedding for Constrained Graph Learning. 488-500 - Renbo Zhu, Meng Ma, Ping Wang:
RAGA: Relation-Aware Graph Attention Networks for Global Entity Alignment. 501-513 - Liheng Ma, Reihaneh Rabbany, Adriana Romero-Soriano:
Graph Attention Networks with Positional Embeddings. 514-527 - Yayong Li, Jie Yin, Ling Chen:
Unified Robust Training for Graph Neural Networks Against Label Noise. 528-540 - Costas Mavromatis, George Karypis:
Graph InfoClust: Maximizing Coarse-Grain Mutual Information in Graphs. 541-553 - Sambaran Bandyopadhyay, Manasvi Aggarwal, M. Narasimha Murty:
A Deep Hybrid Pooling Architecture for Graph Classification with Hierarchical Attention. 554-565 - Eunkyung Park, Raymond K. Wong, Junbum Kwon, Victor W. Chu:
Maximizing Explainability with SF-Lasso and Selective Inference for Video and Picture Ads. 566-577 - Otto Nyberg, Arto Klami:
Reliably Calibrated Isotonic Regression. 578-589 - Xijia Tang, Tingjin Luo, Tianxiang Luan, Chenping Hou:
Multiple Instance Learning for Unilateral Data. 590-602 - Sajjad Kamali Siahroudi, Daniel Kudenko:
An Online Learning Algorithm for Non-stationary Imbalanced Data by Extra-Charging Minority Class. 603-615 - Bartosz Krawczyk, Alberto Cano:
Locally Linear Support Vector Machines for Imbalanced Data Classification. 616-628 - Lukasz Korycki, Bartosz Krawczyk:
Low-Dimensional Representation Learning from Imbalanced Data Streams. 629-641 - Siamul Karim Khan, Daniel Yue Zhang, Ziyi Kou, Yang Zhang, Dong Wang:
PhotoStylist: Altering the Style of Photos Based on the Connotations of Texts. 642-654 - T. Y. S. S. Santosh, Debarshi Kumar Sanyal, Plaban Kumar Bhowmick, Partha Pratim Das:
Gazetteer-Guided Keyphrase Generation from Research Papers. 655-667 - Somayah Karsoum, Clark Barrus, Le Gruenwald, Eleazar Leal:
Minits-AllOcc: An Efficient Algorithm for Mining Timed Sequential Patterns. 668-685 - Nikhil Pinnaparaju, Manish Gupta, Vasudeva Varma:
T3N: Harnessing Text and Temporal Tree Network for Rumor Detection on Twitter. 686-700 - Md. Rabiul Awal, Rui Cao, Roy Ka-Wei Lee, Sandra Mitrovic:
AngryBERT: Joint Learning Target and Emotion for Hate Speech Detection. 701-713 - Bhavtosh Rath, Xavier Morales, Jaideep Srivastava:
SCARLET: Explainable Attention Based Graph Neural Network for Fake News Spreader Prediction. 714-727 - Yujia Liu, Kang Zeng, Haiyang Wang, Xin Song, Bin Zhou:
Content Matters: A GNN-Based Model Combined with Text Semantics for Social Network Cascade Prediction. 728-740 - Hao Xue, Flora D. Salim:
TERMCast: Temporal Relation Modeling for Effective Urban Flow Forecasting. 741-753 - Hao Fu, Zhong Wang, Yang Yu, Xianwei Meng, Guiquan Liu:
Traffic Flow Driven Spatio-Temporal Graph Convolutional Network for Ride-Hailing Demand Forecasting. 754-765 - Yue Zhang, Zhihai Wang, Jidong Yuan:
A Proximity Forest for Multivariate Time Series Classification. 766-778 - Yu Chu, Lin Li, Qing Xie, Guandong Xu:
C2-Guard: A Cross-Correlation Gaining Framework for Urban Air Quality Prediction. 779-790 - Yuta Hayakawa, Kota Tsubouchi, Masamichi Shimosaka:
Simultaneous Multiple POI Population Pattern Analysis System with HDP Mixture Regression. 791-803 - Dominique Gay, Alexis Bondu, Vincent Lemaire, Marc Boullé:
Interpretable Feature Construction for Time Series Extrinsic Regression. 804-816 - Jiapeng Zhao, Panpan Zhang, Tingwen Liu, Jinqiao Shi:
SEPC: Improving Joint Extraction of Entities and Relations by Strengthening Entity Pairs Connection. 817-828
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