DMCS 2013: Data Mining Case Studies and Data Mining Practice Prize CFP
DMCS will highlight data mining implementations that have been responsible for a significant and measurable improvement in business operations, or an equally important scientific discovery, or another benefit to humanity. Submissions due Aug 30.
at ICDM-2013, Dallas, TX, Dec 8, 2013
From its inception the field of data mining has been guided by the need to solve practical problems. Yet a cursory examination of the publications shows that few papers describe a completed implementation or what we will term a “case study”. The small number of case studies is counter-balanced by their prominence. Anecdotally case studies are one of the most discussed topics at data mining conferences. There are many benefits of good case studies, including Inspiration, Innovation, Education, Media Coverage and Public relations, and Connections to Other Scientific Fields.
The Data Mining Case Studies Workshop and Practice Prize was established nine years ago to showcase the very best in data mining case deployments. Data Mining Case Studies continues with ICDM 2013. Data Mining Case Studies will highlight data mining implementations that have been responsible for a significant and measurable improvement in business operations, or an equally important scientific discovery, or some other benefit to humanity.
Examples of Data Mining Case Studies from previous years have included:
- a medical application that has save hundreds of lives by mining through hundreds of thousands of patient records to identify patients who have show all the signs for heart disease, yet have not been prescribed heart medication,
- a system which has uncovered hundreds of millions in sheltered tax evasion rings,
- a system which has raised revenue by improved cross-selling of computer peripherals and equipment.
Data Mining Case Studies will allow papers greater latitude in
- range of topics – authors may touch upon areas such as optimization, operations research, inventory control, and so on,
- page length – longer submissions are allowed,
- scope – more complete context, problem and solution descriptions will be encouraged,
- prior publication – if the paper was published in part elsewhere, it may still be considered if the new article is substantially more detailed,
- novelty – the use of established techniques to achieve successful implementations will be given partial allowance.
Unsuccessful data mining systems that describe lessons learned and “war stories” will also be assessed.
THE DATA MINING PRACTICE PRIZE
The Data Mining Practice Prize will be awarded for the best Data Mining Case Study submission. The prize will be awarded for work that has had a significant and quantitative impact in the application in which it was applied, or has significantly benefited humanity. Detailed rules and regulations will be finalized upon workshop acceptance.
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. If you are unsure as to the suitability of your paper, please contact the organizers with your topic at the email address at the bottom of the page.
See a big list of suggested topics at www.dataminingcasestudies.com
Submissions (extended) due Aug 30.
For submission instructions and more information, visit