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Data mining and big data 10th International Conference, DMBD 2025, Beijing, China, December 19-22, 2025 proceedings Ying Tan, Yuhui Shi, ditors
Springer Nature - Springer Computer Science eBooks 2026 English International Available online
View online- Format:
- Book
- Conference/Event
- Conference Name:
- DMBD (Conference) (10th : 2025 : Beijing, China)
- Series:
- Communications in computer and information science ; 2905.
- Communications in computer and information science 1865-0937 2905
- Language:
- English
- Subjects (All):
- Data mining.
- Big data.
- Genre:
- proceedings (reports)
- Conference papers and proceedings
- Conference papers and proceedings.
- Physical Description:
- 1 online resource
- Place of Publication:
- Singapore Springer [2026]
- Summary:
- "This book constitutes the refereed proceedings of the 10th International Conference on Data Mining and Big Data, DMBD 2025, held in Beijing, China, in December 19-22, 2025.The 20 full papers included in this book were carefully reviewed and selected from 42 submissions. This conference focuses on algorithms, models, and applications of data mining, big data, and artificial intelligence techniques"-- Springer Nature Link
- Contents:
- Classifying social touch using convolutional neural network and long short-term memory techniques / Edward Lin and Shanyuan Su
- A smartphone-based two-stage approach for early screening of pulmonary health and COPD / Shuaiqi Wang and Yuhua Li
- A Bayesian network model for assessing sales risk in e-commerce live-streaming : a retailer’s perspective / Ting Huang and Yun Zhou
- Resu : a regularized and non-monotonic activation function for convolution neural network / Baokun Wang and Linqi Song
- Deep learning for efficient spintronic film analysis / Yifei Fan, Wenbo Yan, Ying Tan, and Lin Chen
- Carbon price forecasting based on EMD and deep learning / Yiang Liu, Mengjun Ming, Tao Wang, and Guohao Li
- Generalizable abnormal driving behavior recognition based on dual-stream feature fusion and domain alignment / Mengchao Shi, Xiaobo Chen, Daocheng Yu, and Feng Zhao
- A novel crow search algorithm for anomaly detection / Yi Liu, Yangsen Zhou, Guoli Yang, and Qibin Zheng
- A study on explainable graph anomaly detection via graph contrastive learning / Xingong Chang and Dou Zhang
- Investigation of insomnia detection based on refined machine learning algorithm / Hui Luo, Ting Li, and Xunbing Shen
- Multi-scale dynamic interaction network for change detection / Yuxuan Zheng, Ying Xia, Dongen Guo, and Jiangfan Feng
- Deception detection based on audio features / Ting Li, Hui Luo, and Xunbing Shen
- Hybrid fitness functions for factor mining : combining information coefficient with tail return components / Haotian Deng, Wenbo Yan, and Ying Tan
- Fuzzy spatial high utility co-location patterns mining based on extended regions / Yuqi Mei, Chunhu Luo, Xiaoxuan Wang, Pan Tan, and Wen Xiong
- A class of locally repairable codes for cloud storage / Jiahao Tian, Yishu Wang, Zhihua Lu, Xiaoxuan Wang, and Pan Tan
- An adaptive ensemble learning strategy dynamic selection method / Maoguang Wang and Zhihong Li
- Edge-optimized multimodal learning for UAV video understanding via BLIP-2 / Yizhan Feng, Hichem Snoussi, Jing Teng, Jian Liu, Yuyang Wang, Abel Cherouat, and Tian Wang
- Stage-aware optimization of corpse combustion via rolling-horizon GA / Shuocheng Li, Bingjie Li, Ziyang Xian, Yu Mou, Guoxia Yong, Yiping Zhang, and Xueyang Liu
- Network load forecasting via SARIMA-BiLSTM transfer learning / Raghav Chandna, Phodiso Maroeshe, Manal Karmoude, Phuti Rapheeha, Jude Kong, Mukesh Kumar, Karim Djouan, Bevan Smith, and Bruce Mellado
- A Chinese text deduplication method integrating semantics / Bo Chai, Kun Liu, Yi Liu, Fan Li, and Zhihui Ma
- Notes:
- Includes bibliographical references and index
- Online resource; title from PDF title page (Springer Nature Link, viewed June 22, 2026)
- Other Format:
- Print version DMBD (Conference) (10th : 2025 : Beijing, China) Data mining and big data
- ISBN:
- 9789819202294
- 9819202299
- OCLC:
- 1596913966
- Access Restriction:
- Restricted for use by site license
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