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FP-growth approach for document clustering: Author: Akbar, Monika; Date: 2008-05-15; Program: Computer Science; Abstract: Since the amount of text data stored in computer repositories is growing every day, we need more than ever a reliable way to group or categorize text documents. Most of the existing document clustering techniques use a group of keywords from each document to cluster the documents. In this thesis, we have used a sense based approach to cluster documents instead of using only the frequency of the keywords. We use relationships between the keywords to cluster the documents. The relationships are retrieved from the WordNet ontology and represented in the form of a graph. The document-graphs, which...; Download File | View full details

Apriori approach to graph-based clustering of text documents: Author: Hossain, Mahmud Shahriar; Date: 2008-05-15; Program: Computer Science; Abstract: This thesis report introduces a new technique of document clustering based on frequent senses. The developed system, named GDClust (Graph-Based Document Clustering) [1], works with frequent senses rather than dealing with frequent keywords used in traditional text mining techniques. GDClust presents text documents as hierarchical document-graphs and uses an Apriori paradigm to find the frequent subgraphs, which reflect frequent senses. Discovered frequent subgraphs are then utilized to generate accurate sense-based document clusters. We propose a novel multilevel Gaussian minimum support strat...; Download File | View full details

An information retrieval system for images from the trace satellite: Author: Lamb, Robert Ray; Date: 2008-05-15; Program: Computer Science; Abstract: The ability to identify particular features and structures, such as faces or types of scenery in images, is a topic with many available applications and potential solutions. In this paper we discuss solar images and the results of our preliminary investigation of techniques that can be used to identify solar phenomena in images from the TRACE satellite. Being able to automatically identify various phenomena in solar images is of great interest for scientists studying phenomena on the sun. A set of characteristics that can be quickly extracted from solar images needs to be acquired. These chara...; Download File | View full details