1 option
Database systems for advanced applications 30th International Conference, DASFAA 2025, Singapore, Singapore, May 26-29, 2025 proceedings Part I Feida Zhu [and six others] editors
Springer Nature - Springer Computer Science eBooks 2026 English International Available online
View online- Format:
- Book
- Conference/Event
- Conference Name:
- DASFAA (Conference : Database systems) (30th : 2025: Singapore)
- Series:
- Lecture notes in computer science ; 15986.
- Lecture notes in computer science 1611-3349 15986
- Language:
- English
- Subjects (All):
- Data mining.
- Database management.
- 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:
- Less is more : efficient weight “farcasting” with 1-layer neural network / Xiao Shou, Debarun Bhattacharjya, Yanna Ding, Chen Zhao, Rui Li, and Jianxi Gao
- FlexPie : accelerate distributed inference on edge devices with flexible combinatorial optimization / Runhua Zhang, Hongxu Jiang, Jinkun Geng, Yuhang Ma, Chenhui Zhu, and Haojie Wang
- Noise-free Laplacian learning for multiple kernel spectral clustering / Feng Wang, Shun Mao, Yuanfei Deng, and Yixiu Qin
- LODC : a lightweight online update method for density-based clustering / Jie Jiang, Junhua Fang, Pingfu Chao, Pengpeng Zhao, and An Liu
- JurisNexus : enhancing legal judgment prediction via cross-reasoning-chain representation learning mechanism / Pengjie Liu, Xiaoqing Zhang, Yulong Ding, and Shuang-Hua Yang
- Bridging the gap between sparse matrix reordering and factorization : a deep learning framework for fill-in reduction / Ziwei Li, Tao Yuan, Shuzi Niu, and Huiyuan Li
- HESM : a hyperedge embedding-based subhypergraph matching method / Ji Li, Yijie Zhang, Guang Lu, Jiaquan Li, and Chuanwen Li
- DySA-TGN : dynamic self-adaptive temporal graph neural network for multivariate time series classification / Xinmeng Wan and Zhiying Long
- STPformer : mutation-aware spatial-temporal pivotal attention networks for transformer-based traffic forecasting / Hongyang Su, Chenyun Yu, Qingcai Chen, Beibei Kong, Lei Cheng, Chengxiang Zhuo, Zang Li, and Xiaolong Wang
- Making local models learn autonomously with global feature tracking and client drift releasing for federated learning / Silong Chen, Yuchuan Luo, Liang Gao, Shaojing Fu, Ming Xu, and Yawei Zhao
- Gaussian regularization in neural graph learning / Amzine Toushik Wasi, Taki Hasan Rafi, and Dong-Kyu Chae
- Subset discovery for entity matching / Zheng Liang, Yafeng Tang, Hongzhi Wang, Haifeng Cheng, and Xiaoou Ding
- Facial features enhanced multi-branch graph network for driver drowsiness detection / Songwen Pei, Ying Xie, Huichen Zhang, and Sen Zhang
- CF-TS : a general coarse-to-fine method for trajectory simplification / Jiayi Li, Junhua Fang, Zhicheng Pan, Pingfu Chao, Jiajie Xu, and Pengpeng Zhao
- ExBoost : out-of-box co-optimization of machine learning and join queries / Kanchan Chowdhury, Lulu Xie, Lixi Zhou, and Jia Zou
- MAPN : enhancing heterogeneous sparse graph representation by Mamba-based asynchronous aggregation / Xuqi Mao, Zhenying He, and X. Sean Wang
- Knowledge hierarchy guided biological-medical dataset distillation for domain LLM training / Xunxin Cai, Chengrui Wang, Qingqing Long, Yuanchun Zhou, and Meng Xiao
- Anticipating retractions in scientific databases using LLM-based citation analysis / Muhammad Usman, Mayukh Das, and Wolf-Tilo Balke
- Personalized federated multi-center medical data analysis with local and global uncertainty / Shengrong Li, Mingming Wang, Shuai Xu, Daoqiang Zhang, and Qi Zhu
- Data-driven regional weather forecasting guided by global context / NingZi Hu, Guang Yu, Yi Han, Ying Wang, XueRong Cui, JunXing Zhu, and Xiang Wang
- Instance-aware test-time adaptation for domain generalization / Taki Hasan Rafi, Serbeter Karlo, Amit Agarwal, Hitesh L. Patel, Bhargava Kumar, and Dong-Kyu Chae
- FLeW : facet-level and adaptive weighted representation learning of scientific documents / Zheng Dou, Deqing Wang, Fuzhen Zhuang, Jian Ren, and Yanlin Hu
- Mitigating linguistic bias between Malay and Indonesian languages using masked language models / Ferdinand Lenchau Bit, Iman Khaleda binti Zamri, Amzine Toushik Wasi, Taki Hasan Rafi, and Dong-Kyu Chae
- ROME : memorization insights from text, logits and representation / Bo Li, Qinghua Zhao, and Lijie Wen
- FairDP-GNN : graph neural network with group fairness and differential privacy / Fengrui Hao, Shiyi Zhao, Tianlong Gu, Xuemin Wang, Xiaoli Liu, and Yuanfeng Liu
- Accelerating DeepWalk via context-level parameter update and Huffman tree pruning / Chang Gong, Weiguo Zheng, and Hongwei Feng
- MASS : mitigating aspect-oriented semantic sparsity for fine-grained sentiment analysis / Yanjiang Chen, Kai Zhang, Zhe Yang, Linan Yue, Xinjie Sun, Kun Zhang, and Qi Liu
- Predicting enterprise users’ consuming potential for cloud services / Yunlong Cheng, Tianyao Shi, Xiuyuan Wei, Yulong Song, Xiaofeng Gao, Zhipeng Bian, and Zhenli Sheng
- rFedKD : a reverse federated knowledge distillation method for communication efficiency / Weijia Feng, Ruojia Zhang, Yichen Zhu, Chenyang Wang, Xiaobao Wang, and Tarik Taleb
- Private multi-party neural network training over Z2k via Galois rings / Hengcheng Zhou
- Enhancing Chinese multimodal entity linking with CLIP-RoBERTa and contrastive learning / Chun Wang, Chunyan An, Qiang Yang, and Zhixu Li
- Sentence extraction framework with high relevance and divergence for document summarization / Huiwen Xue, Baoan Li, Denghao Ma, Xueqiang Lv, and Xiaoxi Wang
- Enhancing chain-of-thought reasoning for text-to-SQL with effective retrieval-augmented generation / Xuguang Zhu, Yong Zhang, Chao Li, and Chunxiao Xing
- Unlocking multimodal potential for few-shot semantic segmentation with vision-enriched text / Siyu Chen, Jiaxiang Fang, Shiqiang Ma, and Fei Guo
- AMR-GCC : two-step cross-document event factuality identification on data augmentation / Zijie Qian, Zhong Qian, Chengwei Liu, and Peifeng Li
- NanoCSV : enabling efficient parallel CSV extraction with hierarchical finite-state transducer / Peiyuan Dai, Rui Liu, and Heng Zhang
- Notes:
- Includes bibliographical references and index
- Online resource; title from PDF title page (Springer Nature Link, viewed June 23, 2026)
- Other Format:
- Print version DASFAA (Conference : Database systems) (30th : 2025: Singapore) Database systems for advanced applications
- ISBN:
- 9789819538270
- 9819538270
- OCLC:
- 1596588276
- Access Restriction:
- Restricted for use by site license
The Penn Libraries is committed to describing library materials using current, accurate, and responsible language. If you discover outdated or inaccurate language, please fill out this feedback form to report it and suggest alternative language.