The IEEE International Conference on Data Mining series (ICDM) has established itself as the world’s premier research conference in data mining. It provides an international forum for presentation of original research results, as well as exchange and dissemination of innovative, practical development experiences. The conference covers all aspects of data mining, including algorithms, software and systems, and applications. ICDM draws researchers and application developers from a wide range of data mining related areas such as statistics, machine learning, pattern recognition, databases and data warehousing, data visualization, knowledge-based systems, and high performance computing. By promoting novel, high quality research findings, and innovative solutions to challenging data mining problems, the conference seeks to continuously advance the state-of-the-art in data mining. Besides the technical program, the conference features workshops, tutorials, panels.
Topics of interest include, but are not limited to:
Foundations, algorithms, models and theory of data mining
Machine learning and statistical methods for data mining
Mining text, semi-structured, spatio-temporal, streaming, graph, web, multimedia data
Data mining systems and platforms, their efficiency, scalability and privacy
Data mining in modeling, visualization, personalization and recommendation
Applications of data mining in all domains including social, web, bioinformatics and finance
12月12日
2016
12月15日
2016
初稿截稿日期
初稿录用通知日期
终稿截稿日期
注册截止日期
2023年12月01日 中国 Shanghai
2023 IEEE International Conference on Data Mining2018年11月17日 新加坡
2018 IEEE International Conference on Data Mining Workshops2017年11月18日 美国
2017 IEEE International Conference on Data Mining Workshops2016年12月12日 西班牙 Barcelona,Spain
2016 IEEE International Conference on Data Mining Workshop2015年11月14日 美国
2015年IEEE数据挖掘国际会议
留言