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ORCID28th PAKDD 2024: Taipei, Taiwan - Part I
- De-Nian Yang
, Xing Xie, Vincent S. Tseng, Jian Pei, Jen-Wei Huang, Jerry Chun-Wei Lin:
Advances in Knowledge Discovery and Data Mining - 28th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2024, Taipei, Taiwan, May 7-10, 2024, Proceedings, Part I. Lecture Notes in Computer Science 14645, Springer 2024, ISBN 978-981-97-2241-9
Anomaly and Outlier Detection
- Yuye Feng, Wei Zhang, Haiming Sun, Weihao Jiang:
Spatial-Temporal Transformer with Error-Restricted Variance Estimation for Time Series Anomaly Detection. 3-14 - Junjie Zhang, Yuxin Ding:
Multi-task Contrastive Learning for Anomaly Detection on Attributed Networks. 15-26 - Liheng Shen, Tetsu Matsukawa, Einoshin Suzuki:
SATJiP: Spatial and Augmented Temporal Jigsaw Puzzles for Video Anomaly Detection. 27-40 - Yu-Xiang Wu, Bi-Ru Dai:
STL-ConvTransformer: Series Decomposition and Convolution-Infused Transformer Architecture in Multivariate Time Series Anomaly Detection. 41-52 - Shanfeng Hu, Ying Huang:
TOPOMA: Time-Series Orthogonal Projection Operator with Moving Average for Interpretable and Training-Free Anomaly Detection. 53-65 - Padmaksha Roy, Himanshu Singhal, Timothy J. O'Shea, Ming Jin:
Latent Space Correlation-Aware Autoencoder for Anomaly Detection in Skewed Data. 66-77 - Phuong Nguyen, Tuan M. V. Le:
SeeM: A Shared Latent Variable Model for Unsupervised Multi-view Anomaly Detection. 78-90
Classification
- Rei Sato, Shuichiro Haruta, Kazuhiro Saito, Mori Kurokawa:
QWalkVec: Node Embedding by Quantum Walk. 93-104 - Tien-Cuong Bui, Wen-Syan Li:
Human-Driven Active Verification for Efficient and Trustworthy Graph Classification. 105-116 - Yihan Meng, Weitao Li, Lin Shang:
SASBO: Sparse Attack via Stochastic Binary Optimization. 117-129 - Kaiyue Wang, Fan Yang, Yucheng Yao, Xiabing Zhou:
LEMT: A Label Enhanced Multi-task Learning Framework for Malevolent Dialogue Response Detection. 130-142 - Xiang Ying, Shimei Luo, Mei Yu, Mankun Zhao, Jian Yu, Jiujiang Guo, Xuewei Li:
Two-Stage Knowledge Graph Completion Based on Semantic Features and High-Order Structural Features. 143-155 - Daniel Shrewsbury, Suneung Kim, Young-Eun Kim, Heejo Kong, Seong-Whan Lee:
Instance-Ambiguity Weighting for Multi-label Recognition with Limited Annotations. 156-167 - Le Zhang, Raymond S. T. Lee:
Chaotic Neural Oscillators with Deep Graph Neural Network for Node Classification. 168-180 - Hao Liu, Raymond Chi-Wing Wong:
Adversarial Learning of Group and Individual Fair Representations. 181-193 - Jérémy Foxcroft, Peter Christen, Luiza Antonie:
Class Ratio and Its Implications for Reproducibility and Performance in Record Linkage. 194-205
Clustering
- Toshiyuki Oshima, Kentaro Takagi, Kouta Nakata:
Clustering-Friendly Representation Learning for Enhancing Salient Features. 209-220 - Xiaocui Li, Yu Xiao, Xinyu Zhang, Qingyu Shi, Xiance Tang:
ImMC-CSFL: Imbalanced Multi-view Clustering Algorithm Based on Common-Specific Feature Learning. 221-232 - Yung-Peng Hsu, Hung-Hsuan Chen:
Multivariate Beta Mixture Model: Probabilistic Clustering with Flexible Cluster Shapes. 233-245 - Matteo Francia, Joseph Giovanelli, Matteo Golfarelli:
AutoClues: Exploring Clustering Pipelines via AutoML and Diversification. 246-258 - Lei Gong, Hang Zhang, Zongyou Liu, Kai Ming Ting, Yang Cao, Ye Zhu:
Local Subsequence-Based Distribution for Time Series Clustering. 259-270 - Reda Khoufache, Anisse Belhadj, Hanene Azzag, Mustapha Lebbah:
Distributed MCMC Inference for Bayesian Non-parametric Latent Block Model. 271-283 - Siamak Ghodsi, Seyed Amjad Seyedi, Eirini Ntoutsi:
Towards Cohesion-Fairness Harmony: Contrastive Regularization in Individual Fair Graph Clustering. 284-296
Data Mining Processes and Pipelines
- Meng-Chieh Lee, Shubhranshu Shekhar, Jaemin Yoo, Christos Faloutsos:
NETEFFECT: Discovery and Exploitation of Generalized Network Effects. 299-312 - Charles Vernerey, Noureddine Aribi, Samir Loudni, Yahia Lebbah, Nassim Belmecheri:
Learning to Rank Based on Choquet Integral: Application to Association Rules. 313-326 - Sangyup Lee, Simon S. Woo:
Saliency-Aware Time Series Anomaly Detection for Space Applications. 327-339 - Raghav Mittal, Anirban Mondal, P. Krishna Reddy, Mukesh K. Mohania:
A Model for Retrieving High-Utility Itemsets with Complementary and Substitute Goods. 340-352 - Kuei-Hsiang Huang, Cheng-Yu Sie, Jhong-En Lin, Che-Rung Lee:
LPSD: Low-Rank Plus Sparse Decomposition for Highly Compressed CNN Models. 353-364 - Bin Han, Ya-Lin Zhang, Lu Yu, Biying Chen, Longfei Li, Jun Zhou:
Modeling Treatment Effect with Cross-Domain Data. 365-377
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