Dissertation Information for Miguel Enrique RuizNAME:
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SCHOOL: ADVISORS: COMMITTEE MEMBERS: MPACT Status: Incomplete - Not_Inspected Title: Combining machine learning and hierarchical structures for text categorization Abstract: Text categorization is the process of algorithmically analyzing an electronic document to assign a set of categories (or index terms) that succinctly describe the content of the document. This assignment can be used for classification, filtering, or information retrieval purposes. Machine learning methods such as decision trees, inductive learning, neural networks, support vector machines, linear classifiers, k-nearest neighbor, and Bayesian learning have been applied to solve this problem but most of these applications ignore the hierarchical structure of the underling classification vocabulary. |
MPACT Scores for Miguel Enrique RuizA = 1 Advisors and Advisees Graph |