| Title: | A visualization system for information retrieval and mining in high dimensional databases |
| Author: | |
| Document Type: | Thesis |
| Department: | Department of Electrical and Computer Engineering |
| Degree: | Master of Science |
| Major: | Computer Science |
| Advisory Committee: |
Wang, Jason T. L.
Hung, Daochuan
Wang, Xiong
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| Thesis Date: | 2000, January |
| Keywords: |
Information storage and retrieval systems.
Pattern recognition systems.
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| Availability: | Unrestricted |
| Abstract: |
In this thesis, we present a search engine capable of giving good heuristic answers to the queries on a structural database. A structural database holds structural objects, e.g., protein secondary and tertiary structures, 3D molecules, phylogenetic trees, neuroanatomical networks, parse trees, CAD/CAM parts, and XML documents. Answering queries on such databases often requires solving variants of the graph isomorphism or subisomorphism problems. We also describe a graphic user interface which interacts with users to facilitate visualizing query results. We use 3D molecules (graphs) as illustrating examples, though our prototype is able to handle many other different types of structural data. |
| Complete Thesis: |
njit-etd2000-095
(110 pages ~ 4,781 KB pdf)
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Created September 17, 2007
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