Mass Estimation and Its Applications
Final rept. 1 Mar 2010-1 Mar 2012
MONASH UNIV CHURCHILL (AUSTRALIA) GIPPSLAND SCHOOL OF INFORMATION TECHNOLOGY
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This project established that the new modeling mechanism--mass estimation--has a strong theoretical underpinning for prediction and data modeling. It showed that mass-based approaches have time and space complexities more favorable than existing approaches in a number of data mining tasks e.g., anomaly detection, clustering and information retrieval, and developed i a new density estimator based on mass, and ii a new generative classifier based on mass. The results have been published in top conferences and accepted for top journals.
- Information Science