Call for Abstracts

Contributed papers covering any application of CART, MARS, PRIM, TreeNet, and RandomForests will be considered, including innovative and unusual applications.

Papers may have a focus on methodology and cover any key area of data mining such as data quality assessment, missing value imputation, feature selection, model selection, ensemble methods, but should be rooted in a substantive industrial data mining context and report on real world data. We welcome applied data analysis papers from any industry or field of study. Illustrative industry sessions under consideration and requests for papers include

Topics of Interest

•  Financial Services
Targeted marketing, customer Acquisition
Fraud Detection
CRM: Customer Retention
Risk management and score card development
Loss management in insurance

•  eCommerce

•  Financial Markets Modeling
Stock Selection and Portfolio Management
Business Cycle Forecasting

•  Telecommunications
Churn modeling
Collections management
Fraud detection

•  Bioinformatics, Healthcare and Medicine
DNA Microarray Data Analysis
Proteomics
Drug Discovery

•  Web Mining and Text Mining
User profiling
Recommendation Systems
Learning from Designed Experiments

•  Engineering, Manufacturing, and Quality Control
Semiconductor quality control

•  Public Sector, Defense, Security


Latest Information

To be updated with the LATEST information about our future
Data Mining Conference, please click here.


Submission

If you are interested in sharing your knowledge with other data mining professionals as a presenter, please let us know via email at papers@salforddatamining.com. You may also submit your abstract online here.