posted by user: gmelli || 2282 views || tracked by 4 users: [display]

DMCS 2013 : Fifth Workshop on Data Mining Case Studies and Success Stories and Fifth Data Mining Practice Prize

FacebookTwitterLinkedInGoogle

Link: http://www.dataminingcasestudies.com
 
When Dec 8, 2013 - Dec 8, 2013
Where Dallas, TX
Submission Deadline Jul 27, 2013
Notification Due Sep 25, 2013
Final Version Due Jul 15, 2014
Categories    data mining   case study   scientific application   industry application
 

Call For Papers

The Data Mining Case Studies Workshop and Practice Prize was established in 2005 to showcase the very best in data mining case deployments. Data Mining Case Studies continues into the fifth workshop and prize competition 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) 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, (b) a system which has uncovered hundreds of millions in sheltered tax evasion rings, (c) 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 (a) range of topics - authors may touch upon areas such as optimization, operations research, inventory control, and so on, (b) page length - longer submissions are allowed, (c) scope - more complete context, problem and solution descriptions will be encouraged, (d) prior publication - if the paper was published in part elsewhere, it may still be considered if the new article is substantially more detailed, (e) 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.

Related Resources

ICDM 2019   19th Industrial Conference on Data Mining ICDM 2019
ICDMML 2019   【ACM ICPS EI SCOPUS】2019 International Conference on Data Mining and Machine Learning
MLDM 2019   15th International Conference on Machine Learning and Data Mining MLDM 2019
RecSys 2019   13th ACM Conference on Recommender Systems
iDSC 2019   2nd International Data Science Conference
EDM 2019   The 12th International Conference on Educational Data Mining
DATA 2019   8th International Conference on Data Science, Technology and Applications
COMML 2020   International Conference on Optimization, Metaheuristics and Machine Learning
KomIS@ACM-SAC 2019   ACM SAC 2019 - KomIS track: Application of AI and Big Data Analytics
DSA 2019   The Frontiers in Intelligent Data and Signal Analysis DSA 2019