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IPM
2006
64views more  IPM 2006»
14 years 11 months ago
Text mining without document context
We consider a challenging clustering task: the clustering of muti-word terms without document co-occurrence information in order to form coherent groups of topics. For this task, ...
Eric SanJuan, Fidelia Ibekwe-Sanjuan
AUSDM
2007
Springer
161views Data Mining» more  AUSDM 2007»
15 years 6 months ago
A Case Study of Failure Mode Analysis with Text Mining Methods
The maintenance dataset provided by SunWater contains information about failed assets also known as components and their corresponding failure modes. Currently, extraction of this...
Lin Chen, Richi Nayak
IPM
2007
145views more  IPM 2007»
14 years 11 months ago
Text mining techniques for patent analysis
Patent documents contain important research results. However, they are lengthy and rich in technical terminology such that it takes a lot of human efforts for analyses. Automatic...
Yuen-Hsien Tseng, Chi-Jen Lin, Yu-I Lin
BIBE
2006
IEEE
184views Bioinformatics» more  BIBE 2006»
15 years 6 months ago
A Language Modeling Text Mining Approach to the Annotation of Protein Community
This paper discusses an ontology based language modeling text mining approach to the annotation of protein community. Communities appear to play an important role in the functional...
Xiaodan Zhang, Daniel Duanqing Wu, Xiaohua Zhou, X...
MMM
2006
Springer
107views Multimedia» more  MMM 2006»
15 years 5 months ago
History-based visual mining of semi-structured audio and text
Accessing specific or salient parts of multimedia recordings remains a challenge as there is no obvious way of structuring and representing a mix of space-based and timebased med...
Matt-Mouley Bouamrane, Saturnino Luz, Masood Masoo...