IBM / Jet Propulsion Laboratory / NCR / Intel / SUN / /
Country
Kuwait / / /
Event
Natural Disaster / Reorganization / /
Facility
University of Southern California / Computer Science University of Southern California Los Angeles / Computer Engineering Kuwait University / /
IndustryTerm
2D spatio-temporal surprise mining / cient multi-level trend mining / 2D spatial data mining / construction algorithm / line pre-processing / surprise mining / typical web-based environment / computing / surprises mining / remote sensing systems / /
Organization
Kuwait University / Computer Science University of Southern California Los Angeles / Maytham Safar2 Department / Shahabi1 / Seokkyung Chung1 / and Maytham Safar2 Department / National Science Foundation / Department of Computer Science / University of Southern California / National Aeronautics and Space Administration / U.S. Securities and Exchange Commission / /
A Wavelet-Based Approach to Improve the Eciency of Multi-Level Surprise Mining? Cyrus Shahabi1, Seokkyung Chung1, and Maytham Safar2 Department of Computer Science University of Southern California Los Angeles, Californ