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Advances in knowledge discovery and data mining 30th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2026, Hong Kong, China, June 9-12, 2026 proceedings Part I Raymond Chi-Wing Wong [and six others] editors
Springer Nature - Springer Computer Science eBooks 2026 English International Available online
View online- Format:
- Book
- Conference/Event
- Conference Name:
- Pacific-Asia Conference on Knowledge Discovery and Data Mining (30th : 2026 : Hong Kong, China)
- Series:
- Lecture notes in computer science ; 16597.
- Lecture notes in computer science. Lecture notes in artificial intelligence
- Lecture notes in computer science 1611-3349 16597
- Lecture notes in artificial intelligence
- Language:
- English
- Subjects (All):
- Data mining.
- Data Mining.
- Medical Subjects:
- Data Mining.
- Genre:
- proceedings (reports)
- Conference papers and proceedings
- Conference papers and proceedings.
- Physical Description:
- 1 online resource
- Place of Publication:
- Singapore Springer 2026
- Contents:
- Estimating subgraph importance with structural prior domain knowledge / Changhyun Kim, Seunghwan An, and Jong-June Jeon
- A hierarchy tree data structure for behavior-based user segment representation / Yang Liu, Xuejiao Kang, Sathya Iyer, Idris Malik, Ruixuan Li, Juan Wang, Xinchen Lu, Xiangxue Zhao, Dayong Wang, Menghan Liu, Isaac Liu, Feng Liang, and Yinzhe Yu
- S2tory : story spine distillation for movie script summarization / Mingzhe Lu, Yanbing Liu, Qihao Wang, Jiarui Zhang, Jiayue Wu, Yue Hu, Yunpeng Li, and Yangyan Xu
- Spatio-temporal context-aware web service QoS prediction via contrastive learning / Xiang Mao, Yu Zhang, Yiwen Zhang, and Xiaoyao Zheng
- Shiptraj-r1 : reinforcing ship trajectory prediction in large language models via group relative policy optimization / Yang Zhan, Yunhao Li, Chao Zhang, Yuxu Lu, and Yan Li
- Enhancing graph neural networks with adaptive relation learning via variational inference / Juyeob Lee, Yunho Jeong, Serin Kim, Dayeon Han, and Eunil Park
- Ebvc : electronic bee veterinarian – beyond monitoring and onto control / Mst Shamima Hossain, Meng-Chieh Lee, Christos Faloutsos, Boris Baer, Hyoseung Kim, and Vassilis Tsotras
- Cross-domain aspect sentiment triplet extraction based on generative data augmentation and pseudo-label optimization / Zhou Zou, Jianxia Chen, Long Yang, Ninglong Ding, Liang Xiao, and Zhongwei Huang
- Tarp : an effective and efficient route prediction method via uncertainty-aware traffic imputation and divide-and-conquer inference / Xingyu Xian, Xiaowei Mao, Yang Jiang, Tingrui Wu, Shengnan Guo, Youfang Lin, and Huaiyu Wan
- Boosting black-box graph reconstruction attacks via adjacency relationship recovery of representative nodes / Xinyu Jiang and Qiao Yan
- Unified local and global structure learning for feature selection / Xinjie Han, Cong Lei, Yuhao Jiang, Jiayang Su, Shuyu Li, and Guoqiu Wen
- When spikekanformer meets angular contrastive learning / Liangjin Liu, Siwen Deng, Zhengzhong Zhu, and Pei Zhou
- Nansde-net : a neural SDE framework for generating time series with memory / Hiromu Ozai and Kei Nakagawa
- Dual-modality latent gloss alignment for gloss-free sign language translation / Yunlong Yu, Ming Ji, Zhao Wang, and Ziqian Lu
- Subject information extraction for novelty detection with domain shifts / Yangyang Qu, Dazhi Fu, and Jicong Fan
- A VMD-prior-guided adaptive learning method for multi-step industrial time series forecasting / Zhenya Chen, Yameng Zhang, Ming Yang, Xuguo Jiao, Xiaoming Wu, and Xin Wang
- Sgtrec : integrating spectral encoding with graph neural networks and transformers for recommendation / Sichan Oh, Byungmoon Heo, Namjun Lee, Seonah Kim, Sejong Yoon, and Jaekwang Kim
- Paed : physics-anchored and emotion disentangled memory diffusion for talking face generation / Xingchu Zhang, Chuwen Zhang, Rui Mao, and Zehao Deng
- Ceedet : a class-incremental learning method with early-exit mechanism for malicious traffic detection in IIoT / Jiakun Sun, Yabo Wang, Ruizhi Xiao, Weilong Li, and Shuyuan Jin
- Munet : a multi-outcome uplift network for modeling multi-dimensional treatment effects / Ludan Zhang
- Provgrapher : a top-k approximate tuple-level data provenance framework via graph neural network / Dehua Chen, Zhifen Yang, and Ziteng He
- Sdmc-mamba : steel surface defect detection based on DDIM enhanced mamba with multi-module collaboration / Yujie Li, Haozhe Zhang, and Ziming Wang
- Tabtokwak : token(less)-value watermarking for tabular foundational models / Jeroen M. Galjaard, Chaoyi Zhu, Robert Birke, Pin-Yu Chen, Cornelis Bos, and Lydia Y. Chen
- Deni : a density-enhanced hybrid sampling framework with neighborhood information for noisy imbalanced classification / Tian Tan, Yuhong Xu, and Peijie Huang
- Probabilistic-gap-driven relabeling method for positive-negative-unlabeled learning with label selection bias / Yuzhe Han and Peng Zhang
- Hergc : heterogeneous experts representation and generative completion for multimodal knowledge graphs / Yongkang Xiao and Rui Zhang
- Excoder : explainable classification of discrete time series representations / Yannik Hahn, Antonin Königsfeld, Hasan Tercan, and Tobias Meisen
- Neural-symbolic logic query answering in non-euclidean space / Lihui Liu
- Laptg : length-aligned attentive prefix-target graph for sequential recommendation / Zhiqiang Yang, Pengfei Wang, Yanxin Zhang, Boying Li, Danlu Chen, Xinguang Xiang, and Xiaoyu Du
- Dual nonlinear sparse feature selection method / Pan Xie, Cong Lei, Shanwen Zhang, and Shichao Zhang
- Heir-nets : hierarchical ensemble with inheritance-based refinement networks for sperm target detection with noisy labels / Huiliang Lv, Yang Zhao, Xuan Yang, Jihong Pei, and Jiahui Wu
- Seeds : curriculum-driven adaptive regression contrastive learning for robust evidence-based depression severity classification / Tu-Phuong Mai, Duy-Cat Can, and Hoang-Quynh Le
- Dual self-expression subspace clustering with multi-scale features and structural consistency alignment / Yuhshan Peng, Ji Feng, Mingxun Xi, and Yan Xu
- Anomalyfilter : selective denoising diffusion model for time series anomaly detection / Kohei Obata, Zheng Chen, Yasuko Matsubara, Lingwei Zhu, and Yasushi Sakurai
- Nonlinear characteristic-driven partial multi-label learning / Fuyu Qi, Linqing Huang, Jian Feng, Zhiyong Li, Qingkai Bu, Wenpeng Lu, and Jinfu Fan
- Partial multi-label learning via label anchor graph / Jinfu Fan, Fuyu Qi, Linqing Huang, Jian Feng, Zhiyong Li, Qingkai Bu, and Wenpeng Lu
- Empowering contactless sleep health monitoring with multi-task learning / Zeyu Long, Beihong Jin, Siheng Li, Zhi Wang, Xiaoyong Ren, and Haiqin Liu
- Triangle counting under edge relationship local differential privacy : the case of restricted extended local views / Wenzheng Xia, Shuangqing Xu, Yifeng Zheng, Lei Xu, and Zhongyun Hua
- Leveraging variational information bottleneck for fine-grained urban traffic flow inference / Qiang Ai and Lixin Dong
- Self-weighted contrastive fusion for deep multi-view scRNA-seq clustering / Feiyu Chen, Zihao Feng, Zhongyang Zhou, Bin Tang, and Shangshang Zhao
- When +1% is not enough : a paired bootstrap protocol for evaluating small improvements / Wenzhang Du
- Ddcg : dual-granularity dual-domain collaborative graph neural networks for time series forecasting / Chenggang Xie, Ting Deng, Yiqi Xiao, Ping Lu, and Renzhao Liang
- A transductive model-agnostic contrastive learning framework for few-shot learning / Tianyu Kang, Chengjie Zheng, Ping Chen, and Wei Ding
- Iamrec : intent-adaptive multimodal recommendation with collaborative–modality disentanglement / Jiayi Chen, Xin Zheng, Yixin Liu, Yi Li, Yongqiang Guo, and Shirui Pan
- Mprl : multi-perspective reinforcement learning for enhancing format adherence capability of large language models / Bo Qian, Yuting Wu, Shuang Zeng, Ziming Wang, and Qiaochen Wang
- Segppmts : unsupervised segmentation for pseudo-periodic medical time series / Jinxi Wang, Ling Luo, and Uwe Aickelin
- Prototype fusion : a training-free multi-layer approach to OOD detection / Shreen Gul, Mohamed Elmahallawy, Ardhendu Tripathy, and Sanjay Madria
- Notes:
- Includes bibliographical references and index
- Online resource; title from PDF title page (Springer Nature Link, viewed June 10, 2026)
- Other Format:
- Print version Pacific-Asia Conference on Knowledge Discovery and Data Mining (30th : 2026 : Hong Kong, China) Advances in knowledge discovery and data mining
- ISBN:
- 9789819213009
- 9819213002
- OCLC:
- 1594243310
- Access Restriction:
- Restricted for use by site license
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