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Graph-Theoretic Techniques For Web Content Mining, Adam Schenker
Graph-Theoretic Techniques For Web Content Mining, Adam Schenker
USF Tampa Graduate Theses and Dissertations
In this dissertation we introduce several novel techniques for performing data mining on web documents which utilize graph representations of document content. Graphs are more robust than typical vector representations as they can model structural information that is usually lost when converting the original web document content to a vector representation. For example, we can capture information such as the location, order and proximity of term occurrence, which is discarded under the standard document vector representation models. Many machine learning methods rely on distance computations, centroid calculations, and other numerical techniques. Thus many of these methods have not been applied …
Fourier-Transform Infrared Spectroscopic Imaging Of Prostate Histopathology, Daniel Celestino Fernandez
Fourier-Transform Infrared Spectroscopic Imaging Of Prostate Histopathology, Daniel Celestino Fernandez
USF Tampa Graduate Theses and Dissertations
Vibrational spectroscopic imaging techniques have emerged as powerful methods of obtaining sensitive spatially resolved molecular information from microscopic samples. The data obtained from such techniques reflect the intrinsic molecular chemistry of the sample and in particular yield a wealth of information regarding functional groups which comprise the majority of important molecules found in cells and tissue. These spectroscopic imaging techniques also have the advantage of acquisition of large numbers of spectral measurements which allow statistical analysis of spectral features which are characteristic of the normal histological state as well as different pathologic disease states. Databases of large numbers of samples …