A high percentage of false positives remains a problem in current network security detection systems. With the growing reliance of industry on computer networks, and the growing v...
The general goal of data mining is to extract interesting correlated information from large collection of data. A key computationally-intensive subproblem of data mining involves ...
Abstract—The predicted capacity gain of a traditional colocated MIMO system is often severely limited in realistic propagation scenarios, especially when the number of antennas b...
Background: Cross-platform analysis of gene express data requires multiple, intricate processes at different layers with various platforms. However, existing tools handle only a s...
Jihoon Kim, Kiltesh Patel, Hyunchul Jung, Winston ...
Clustering is the problem of identifying the distribution of patterns and intrinsic correlations in large data sets by partitioning the data points into similarity classes. This p...