Accession Number:
ADA556329
Title:
Mass Estimation and Its Applications
Descriptive Note:
Final rept. 1 Mar 2010-1 Mar 2012
Corporate Author:
MONASH UNIV CHURCHILL (AUSTRALIA) GIPPSLAND SCHOOL OF INFORMATION TECHNOLOGY
Personal Author(s):
Report Date:
2012-02-23
Pagination or Media Count:
113.0
Abstract:
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.
Descriptors:
Subject Categories:
- Information Science
- Cybernetics