发明名称 |
Supervised self organizing maps with fuzzy error correction |
摘要 |
A system and a method for an automated intelligent information mining includes receiving unstructured text from various text sources; extracting multiple key-phrases from the unstructured text; generating template and dynamic information contextual relation maps by mapping the extracted key-phrases to three-dimensional maps using a self organizing map, and a gaussian distribution technique. Further, the technique includes forming word clusters and constructing corresponding key-phrase frequency histograms for each of the generated contextual relation maps. Template and dynamic information three-dimensional structured document maps from the constructed phrase frequency histograms and the generated self-organizing maps. Desired information is extracted by mapping the generated dynamic information three-dimensional structured map onto the template three-dimensional structured map. A fuzzy prediction algorithm is used in possible error correction in extracting the desired intelligent information. A negative learning error correcting algorithm is used to correct the three-dimensional template relation maps depending on the fuzzy feedback.
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申请公布号 |
US7158957(B2) |
申请公布日期 |
2007.01.02 |
申请号 |
US20020302694 |
申请日期 |
2002.11.21 |
申请人 |
HONEYWELL INTERNATIONAL INC. |
发明人 |
JOSEPH SINDHU;VENKATARAMAN SREEDHARAN |
分类号 |
G06F15/18;G06F17/30 |
主分类号 |
G06F15/18 |
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