The platform will undergo maintenance on Sep 14 at about 7:45 AM EST and will be unavailable for approximately 2 hours.
2012
DOI: 10.1016/j.ins.2011.10.023
|View full text |Cite
|
Sign up to set email alerts
|

Formal context coverage based on isolated labels: An efficient solution for text feature extraction

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
1
0

Year Published

2013
2013
2019
2019

Publication Types

Select...
5
1

Relationship

0
6

Authors

Journals

citations
Cited by 12 publications
(1 citation statement)
references
References 10 publications
0
1
0
Order By: Relevance
“…Other domains discuss the mathematics behind FCA with a fuzzy setting, an interval-valued fuzzy setting, possibility theory, a rough setting, a triadic, factor and incomplete context to apply these extensions in the appropriate context for knowledge processing tasks. Ferjani et al, 2012Feature extractions Formica, 2012 Semantic web Galitsky et al, 2013 Finding patterns on parse thickets Hamrouni et al, 2013 Finding some frequent itemset Li and Guo, 2013 Investigating formal query De Maio et al, 2014 Text mining Muangprathub et al, 2013 Classification Li andTsai, 2013 Text mining Finding cousins Neznanov and Kuznetsov, 2013 FCART tool Poshyvanyk et al, 2012 Concept location Priss, 2006 Application in information sciences Senatore and Pasi, 2013 Finding correlations Li and Tsai, 2013 Opinion classification Zerarga and Djouadi, 2013 Information retrieval Military intelligence Du and Hai, 2013 Mining web page Elzinga et al, 2010 Terrorist threat assessment Poelmans et al, 2013c Criminal trajectories Priss, 2011 Unix system monitoring Romanov et al, 2012 Detect anomalies Web services…”
Section: Ontology Engineering Research Goalmentioning
confidence: 99%
“…Other domains discuss the mathematics behind FCA with a fuzzy setting, an interval-valued fuzzy setting, possibility theory, a rough setting, a triadic, factor and incomplete context to apply these extensions in the appropriate context for knowledge processing tasks. Ferjani et al, 2012Feature extractions Formica, 2012 Semantic web Galitsky et al, 2013 Finding patterns on parse thickets Hamrouni et al, 2013 Finding some frequent itemset Li and Guo, 2013 Investigating formal query De Maio et al, 2014 Text mining Muangprathub et al, 2013 Classification Li andTsai, 2013 Text mining Finding cousins Neznanov and Kuznetsov, 2013 FCART tool Poshyvanyk et al, 2012 Concept location Priss, 2006 Application in information sciences Senatore and Pasi, 2013 Finding correlations Li and Tsai, 2013 Opinion classification Zerarga and Djouadi, 2013 Information retrieval Military intelligence Du and Hai, 2013 Mining web page Elzinga et al, 2010 Terrorist threat assessment Poelmans et al, 2013c Criminal trajectories Priss, 2011 Unix system monitoring Romanov et al, 2012 Detect anomalies Web services…”
Section: Ontology Engineering Research Goalmentioning
confidence: 99%