Conference Website:http://icdm2014.sfu.ca/home.html
IEEE International Conference on Data Mining
Shenzhen, China / December 14-17, 2014
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 (templates available HERE), including the bibliography and any possible appendices. Submissions longer than 10 pages will be rejected without a review. 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.
All manuscripts are submitted as full papers and are reviewed based on their scientific merit. There is no separate abstract submission step. There are no separate industrial, application, short paper or poster tracks. (See the ICDM Workshops for other options.)
Repeatability
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. While we cannot expect *every* dataset used to be made public, it is in the best interest of the authors to make as many as possible available (in the worst case, a sampled or an anonymized version). To retain anonymity of submissions, any such additional material should be anonymized as well, and be published on an anonymous website (such as DropBox). The repeatability factor will play an important role in the reviewer’s assessment of the submission.
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
All deadlines are at 11:59PM Pacific Daylight Time.
- Paper submission: June 24, 2014
- Acceptance notification: September 24, 2014 (sent on September 19, 2014)
- Conference dates: December 14-17, 2014
For further information, please contact: icdm14chairs@gmail.com