Scope For the research track, we invite submission of papers describing innovative research on all aspects of knowledge discovery and data science, ranging from theoretical foundations to novel models and algorithms for data science problems in science, business, medicine, and engineering. Visionary pape...
近日,第32届ACM国际多媒体会议(Proceedings of the 32nd ACM International Conference on Multimedia,ACM MM 2024)、第30届国际知识发现与数据挖掘大会 (ACM SIGKDD Conference on Knowledge Discovery and Data Mining,SIGKDD 2024)录用结果公示,据悉...
Chen and J. Park. The topic-perspective model for social tagging systems, The 16th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD‟10), July 25-28, 2010, Washington D.C., USA. pp. 683-692.D. Lin and P. Pantel 2001. DIRT-Discovery of Infer- ence Rules from ...
The conference this year continues with its tradition of a strong tutorial and workshop program on leading edge issues of data mining during the first two days of the program. The last three days are devoted to contributed technical papers, describing both novel, important research contributions, ...
ISKE 2025The 20th International Conference on Intelligent Systems and Knowledge Engineering (ISKE 2025) ICDM 2025The 25th IEEE International Conference on Data Mining IJRAP 2025International Journal of Recent advances in Physics AAIA 2025Advanced Artificial Intelligence in Applications - IEEE FedCSIS ...
Evolution of the total number of citations and journal's self-citations received by a journal's published documents during the three previous years. Journal Self-citation is defined as the number of citation from a journal citing article to articles published by the same journal. ...
KDD 202531st ACM SIGKDD Conference on Knowledge Discovery and Data Mining Ei/Scopus- CCRIS 20252025 IEEE 6th International Conference on Control, Robotics and Intelligent System (CCRIS 2025) KDD - UMC 2025ACM KDD 2025 Undergraduate and Master's Consortium ...
[1] Hou Y, Mu S, Zhao W X, et al. Towards universal sequence representation learning for recommender systems[C]//Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining. 2022: 585-593. [2] Hou Y, He Z, McAuley J, et al. Learning vector-quantized item ...
《Data Mining and Machine Learning: Fundamental Concepts and Algorithms 2nd Edition》(中文版即将出版) 作者:Mohammed Zaki(伦斯勒理工学院) 伦斯勒理工学院计算机科学系教授,副系主任和研究生项目主任。他发表过250多篇文章,是《Data Mining and Knowledge Discovery.》杂志的副主编,也是ACM SIGKDD计算机特别兴趣小组...
Introduction: SIGKDD aims to provide the premier forum for advancement and adoption of the "science" of knowledge discovery and data mining. SIGKDD will encourage: basic research in KDD (through annual research conferences, newsletter and other related activities) ...