IEEE ICDM 2010: Call for Top-10 Case Studies (by 10/17)

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ICDM '10: The 10th IEEE International Conference on Data Mining
Call for Case Studies
*********************
(
http://datamining.it.uts.edu.au/icdm10/index.php/call-for/call-for-case-studies
)
Motivation
**********
Following the successes of the 10 Challenging Problems in Data Mining
Research at ICDM '05
(http://www.cs.uvm.edu/%7Eicdm/10Problems/index.shtml<http://www.cs.uvm.edu/~icdm/10Problems/index.shtml>)
and the Top 10
Algorithms in Data Mining at ICDM '06
(http://www.cs.uvm.edu/%7Eicdm/algorithms/index.shtml<http://www.cs.uvm.edu/~icdm/algorithms/index.shtml>)
and as part of
the 10 year celebration of the IEEE International Conference on Data
Mining series (ICDM), the Top-10 Data Mining Case Studies panel at
ICDM'10 will present the top 10 data mining case studies submissions
by ten of the top data miners in the field.
The Panel
*********
The panel's objective is to highlight data mining implementations that
have made a significant impact in order to help the community to set a
baseline for the success criteria of a successful contemporary data
mining application that practitioners can use to improve their
deployments, and for data mining researchers to push the state of the
art. The moderated panel will take place on December 17th at the 10th
IEEE International Conference on Data Mining (ICDM '10).
Topics
******
Most operational industrial and scientific systems that involve data
mining to some extent are likely to be acceptable. Systems that are
responsible for mission critical systems, medical applications, cash
flow, or applications that significantly benefit humanity will be
particularly good candidates. Other known topic areas of successful
data mining applications include:
- Genomics
- Inventory control
- Customer Relationship Management (CRM)
- ShopBots
- Recommendation systems
- Auction trading systems
- Clinical patient monitoring
- Seismic Data interpretation
- Survival analysis for medical procedures
- Climate analysis
- Correlates of genes with disease
- Dangerous Drug interactions
- Law enforcement applications
- Search Engine Marketing
- Food spoilage elimination
- Price optimization
- Data visualization in mission-critical user interfaces
- Text understanding
Submission instructions
***********************
Please complete the data mining case study questionnaire found here
(
http://www.gabormelli.com/Projects/ICDM-2010_Panel/ICDM10_Panel_Questionnaire.doc
)
and submit it to the panel submission site found here
(http://www.easychair.org/conferences/?conf=icdm10panel) by the
submission deadline date.
You may contact the co-chairs at: icdm10panel@predictionworks.com.
Important Dates
***************
Submissions site open            Sept 13, 2010
Submissions site closed          Oct. 17, 2010
Notification of selection        Nov. 17, 2010
Panel held                        Dec. 17, 2010
Guidelines
**********
   1. Advertisement: Data Mining Case Studies is not a sales
venue. References to commercial products will be carefully scrutinized
by our selection committee for applicability. Where possible the
underlying techniques should be described.
   2. Verifiability: Valid contact information for the company that
deployed the data mining system must be supplied to the Program
Committee. The Program Committee should be afforded the right to
contact individuals that were the beneficiaries of the data mining
system and ask them questions about the implementation
   3. Confidentiality: The reviewing process will be confidential.
Venue
*****
The 10th IEEE International Conference on Data Mining (ICDM), Sydney,
Australia, Dec. 14th ~ 17th.
Organizing Committee
********************
    * Gabor Melli (co-chair), PredictionWorks, Canada
    * Xindong Wu (co-chair), University of Vermont, USA
    * Paul Beinat, Neuronworks, Australia
    * Michael Berthold, KNIME, Germany.
    * Longbing Cao, University of Technology Sydney, Australia
    * Christos Faloutsos, Carnegie Mellon University, USA
    * Rayid Ghani, Accenture, USA.
    * Bart Goethals, University of Antwerp, Belgium.
    * Brendan Kitts, Lucid Commerce, USA.
    * Geoff McLachlan, University of Queensland, Australia
    * Jian Pei, Simon Fraser University, Canada.
    * Ashok Srivasta, NASA, USA