IEEE International Conference on Data Mining 2017
When : 2017-11-18
Where : New Orleans, USA
Submission Deadline : 2017-06-05
Categories : Data Mining , Machine Learning
IEEE International Conference on Data Mining 2017
November 18~21, 2017
New Orleans, USA
Call for Papers
The IEEE International Conference on Data Mining (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 and practical development experiences. The conference covers all aspects of data mining, including algorithms, software, systems, and applications. ICDM draws researchers, application developers, and practitioners from a wide range of data mining related areas such as statistics, machine learning, pattern recognition, databases, 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 advance the state-of-the-art in data mining.
Topics of Interest :
- Foundations, algorithms, models and theory of data mining, including big data mining.
- Machine learning and statistical methods for data mining.
- Mining from heterogeneous data sources, including text, semi-structured, spatio-temporal, streaming, graph, web, and multimedia data.
- Data mining systems and platforms, and their efficiency, scalability, security and privacy.
- Data mining for modeling, visualization, personalization, and recommendation.
- Data mining for cyber-physical systems and complex, time-evolving networks.
- Applications of data mining in social sciences, physical sciences, engineering, life sciences, web, marketing, finance, precision medicine, health informatics, and other domains.
Important Dates :
| Submission Deadline | : | June 05,2017 |
| Authors Notification | : | Augudt 15, 2017 |
| Final Manuscript Due | : | September 05, 2017 |
User Name : alex
Posted 02-01-2017 on 11:11:32 AEDT