Transcript Toward A Unifying Taxonomy for Feature Selection
Toward A Unifying Taxonomy for Feature Selection • Feature selection is to select relevant features for effective data mining. • There are many good feature selection algorithms. • This SGER project attempts to – define a common platform for all algorithms – build a taxonomy to discover how they complement each other and what’s missing • Ultimately, we wish to solve automatic selection problem. Achievements • Project web site with a software package www.public.asu.edu/~huanliu/feature_selection.html • Publications: – – – – – One paper accepted by ICML 2002 An updated survey draft One book chapter by LEA Handbook of DM One invited paper at a data mining workshop One submission to SIGKDD 2002 • One full proposal to NSF IDM • A short Data Mining course is planned.