The emerging interests in spatial pattern mining leads to the demand for a flexible spatial pattern mining language, on which easy to use and understand visual pattern language could be built. It is worthwhile to define a pattern mining language called LCSPM to allow users to specify complex spatial patterns. I describe a proposed pattern mining language in this paper. A visual interface which allows users to specify the patterns visually is developed. Visual pattern queries are translated into the LCSPM language by a parser and data mining process can be triggered afterwards. The visual language is based on and goes beyond the visual language proposed in literature. I implemented a prototype system based on the open source JUMP framework.
Identifer | oai:union.ndltd.org:unt.edu/info:ark/67531/metadc5408 |
Date | 12 1900 |
Creators | Li, Xiaohui |
Contributors | Huang, Yan, Brazile, Robert, Shahrokhi, Farhad |
Publisher | University of North Texas |
Source Sets | University of North Texas |
Language | English |
Detected Language | English |
Type | Thesis or Dissertation |
Format | Text |
Rights | Use restricted to UNT Community, Copyright, Li, Xiaohui, Copyright is held by the author, unless otherwise noted. All rights reserved. |
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