posted by user: sdm_publicity || 3272 views || tracked by 7 users: [display]

SDM 2014 : SIAM International Conference on Data Mining: Call for Tutorials


When Apr 24, 2014 - Apr 26, 2014
Where Philadelphia, Pennsylvania
Submission Deadline Oct 13, 2013
Notification Due Oct 27, 2013

Call For Papers

(Apologies for cross-posting)
SDM2014: The 14TH SIAM International Conference on Data Mining
Call for Tutorials

The SIAM Data Mining (SDM14) Organizing Committee invites proposals for tutorials to be held in conjunction with the conference. Tutorials are an effective way
to educate and/or provide the necessary background to the intended audience enabling them to understand technical advances.

For SDM14, we are seeking proposals for tutorials on all topics related to data mining. A tutorial may be a theme-oriented comprehensive survey, discuss novel
data mining techniques or may center around successful and timely application of data mining in important application areas (e.g. medicine, national security,
scientific data analysis). For examples of typical SIAM tutorials, see the set of accepted tutorials at previous SIAM conferences SDM11, SDM12, and SDM13.

Tutorials are open to all conference attendees without any extra fees. The typical tutorial will be 2 hours long (longer tutorials will be considered). Previous
SDM conferences attracted up to 100 attendees in a tutorial.

Proposals should be submitted electronically by September 27, 2013 11:59 PM PST to:
Suresh Venkatasubramanian
School of Computing, University of Utah

Proposals should be submitted in PDF format (for other formats please contact the tutorial chair first). Proposals should include the following:

- Basic information: Title, brief description, name and contact information for each tutor, length of the proposed tutorial. If the intended tutorial is expected
to take longer than 2 hours a rationale is expected. Also identify any other venues in which the tutorial has been or will be presented.

- Audience: Proposals must clearly identify the intended audience for the tutorial (e.g., novice, intermediate, expert).
* What background will be required of the audience?
* Why is this topic important/interesting to the SIAM data mining community?
* What is the benefit to participants?
* Provide some informal evidence that people would attend (e.g., related workshops).

- Coverage: Enough material should be included to provide a sense of both the scope of material to be covered and the depth to which it will be covered. The more
details that can be provided, the better (up to and including links to the actual slides or viewgraphs). Note that the tutors should not focus mainly on their
own research results. If, for certain parts of the tutorial, the material comes directly from the tutors' own research or product, please indicate this clearly
in the proposal.

- Biographies: Provide brief biographical information on each tutor (including qualifications with respect to the tutorial's topic).


- Submission: September 27, 2013 11:59 PM PST

- Decision Notification: October 27, 2013

- Complete Set of Tutorial Viewgraphs (Slides): February 13, 2014

Related Resources

SDM 2023   SDM 2023 : SIAM International Conference on Data Mining
SDM 2022   SIAM International Conference on Data Mining
MLDM 2023   18th International Conference on Machine Learning and Data Mining
AusDM 2022   The 20th Australasian Data Mining Conference 2022 Call for Tutorials
CoMSE 2023   2023 International Conference on Materials Science and Engineering (CoMSE 2023)
SoCAV 2023   2023 International Symposium on Connected and Autonomous Vehicles (SoCAV 2023)
ICBDB 2022   2022 4th International Conference on Big Data and Blockchain(ICBDB 2022)
MLDM 2023   19th International Conference on Machine Learning and Data Mining
IEEE SSCI 2023   2023 IEEE Symposium Series on Computational Intelligence
EKAW - Posters and Tutorials 2022   EKAW 2022 - Call for workshops and tutorials