posted by user: koboldmaki || 41430 views || tracked by 369 users: [display]

ICDM 2014 : IEEE International Conference on Data Mining


Conference Series : International Conference on Data Mining
When Dec 14, 2014 - Dec 17, 2014
Where Shenzhen, China
Submission Deadline Jun 24, 2014
Notification Due Sep 24, 2014
Categories    data mining   machine learning   pattern recognition   databases

Call For Papers

The IEEE International Conference on Data Mining (ICDM) has established itself as the world's premier research conference in data mining. We invite high-quality papers reporting original research on all aspects of data mining, including applications, algorithms, software, and systems. We especially encourage submissions that promote the advancement of data mining as a scientific and engineering discipline and submissions that bridge different disciplines with data mining, such as statistics, machine learning, pattern recognition, databases, data warehousing, visualization, knowledge-based systems, and high-performance computing. Papers are rigorously evaluated based on novelty, technical merit, significance, clarity, relevance, and repeatability. Papers submitted should be original work, not previously published or currently reviewed in a peer-reviewed conference or journal.
Topics of Interest

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

Submission Guidelines

Paper submissions should be limited to a maximum of ten (10) pages, in the IEEE 2-column format (see the IEEE Computer Society Press Proceedings Author Guidelines). All submissions will be triple-blind reviewed by the Program Committee on the basis of technical quality, relevance to data mining, originality, significance, and clarity. Author names and affiliations must not appear in the submissions, and bibliographic references must be adjusted to preserve author anonymity. Accepted papers will be published in the conference proceedings by the IEEE Computer Society Press.

Every effort should be made to enable the code and the datasets (or their closest publicly available equivalents) and all relevant parameter specifications available to reviewers and readers so that the results can be independently replicated. To retain anonymity of submissions, any such additional material should be anonymized as well, and be published on an anonymous website (such as DropBox).
Best Paper Awards

Awards will be conferred at the conference on the authors of the best research paper, the best application paper, and the best student paper. A selected number of accepted papers will be invited for possible inclusion, in an expanded and revised form, in the Knowledge and Information Systems journal published by Springer-Verlag.
Important Dates

Paper submission: June 24, 2014
Acceptance notification: September 24, 2014
Conference dates: December 14-17, 2014

Related Resources

pehealth 2016   The 1st Pacific Rim International Workshop on eHealth Mining (PeHealth)
ICML 2017   34th International Conference on Machine Learning
DSAA 2017   The 4th IEEE International Conference on Data Science and Advanced Analytics 2017
ICDM 2016   The IEEE International Conference on Data Mining
MLDM 2017   Machine Learning and Data Mining in Pattern Recognition
IJCAI 2017   International Joint Conference on Artificial Intelligence
PAKDD 2017   The 21st Pacific-Asia Conference on Knowledge Discovery and Data Mining
ECML-PKDD 2017   European Conference on Machine Learning and Principles and Practice of Knowledge Discovery
ISMIS 2017   23rd International Symposium on Methodologies for Intelligent Systems
IEEE ITOEC 2017   2017 IEEE 3rd Information Technology and Mechatronics Engineering Conference