Visualizing large-scale online social network is a challenging yet essential task. This paper presents HiMap, a system that visualizes it by clustered graph via hierarchical group...
Lei Shi, Nan Cao, Shixia Liu, Weihong Qian, Li Tan...
This paper presents an efficient hybrid feature selection model based on Support Vector Machine (SVM) and Genetic Algorithm (GA) for large healthcare databases. Even though SVM an...
Rick Chow, Wei Zhong, Michael Blackmon, Richard St...
We explore techniques from visualization and computational geometry to make tactical information more intuitive to a military commander. To be successful, the commander must quick...
C. M. Hoffman, Y.-J. Kim, R. P. Winkler, J. D. Wal...
Mining discrete patterns in binary data is important for subsampling, compression, and clustering. We consider rankone binary matrix approximations that identify the dominant patt...
We present a highly accurate method for classifying web pages based on link percentage, which is the percentage of text characters that are parts of links normalized by the number...