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Full-Text Articles in Computer Sciences
Multi-Threaded Implementation Of Association Rule Mining With Visualization Of The Pattern Tree, Eera Gupta
Multi-Threaded Implementation Of Association Rule Mining With Visualization Of The Pattern Tree, Eera Gupta
LSU Master's Theses
Motor Vehicle fatalities per 100,000 population in the United States has been reported to be 10.69% in the year 2012 as per NHTSA (National Highway Traffic Safety Administration). The fatality rate has increased by 0.27% in 2012 compared to the rate in the year 2011. As per the reports, there are many factors involved in increasing the fatality rate drastically such as driving under influence, testing while driving, and various other weather phenomena. Decision makers need to analyze the factors attributing to the increase in an accident rate to take implied measures. Current methods used to perform the data analysis …
Parallel Surrogate Detection In Large-Scale Simulations, Lei Jiang
Parallel Surrogate Detection In Large-Scale Simulations, Lei Jiang
LSU Master's Theses
Simulation has become a useful approach in scientific computing and engineering for its ability to model real natural or human systems. In particular, for complex systems such as hurricanes, wildfire disasters, and real-time road traffic, simulation methods are able to provide researchers, engineers and decision makers predicted values in order to help them to take appropriate actions. For large-scale problems, the simulations usually take a lot of time on supercomputers, thus making real-time predictions more difficult. Approximation models that mimic the behavior of simulation models but are computationally cheaper, namely "surrogate models", are desired in such scenarios. In the thesis, …
Data Exploration By Using The Monotonicity Property, Hongyi Chen
Data Exploration By Using The Monotonicity Property, Hongyi Chen
LSU Master's Theses
Dealing with different misclassification costs has been a big problem for classification. Some algorithms can predict quite accurately when assuming the misclassification costs for each class are the same, like most rule induction methods. However, when the misclassification costs change, which is a common phenomenon in reality, these algorithms are not capable of adjusting their results. Some other algorithms, like the Bayesian methods, have the ability to yield probabilities of a certain unclassified example belonging to given classes, which is helpful to make modification on the results according to different misclassification costs. The shortcoming of such algorithms is, when the …