Paper Info
Title
Mining Patterns with Domain Knowledge: A Case Study on Multi-language Data
Abstract
Multi-language data impairs the application of mining techniques in a generalized form, since language remains an impenetrable barrier. The advances on domain driven data mining and the study of its semantic aspects open a first window over it, in particular the D2PM framework [1]. This paper proposes a new method for mining patterns over multi-language data, through the use of the D2FP-Growth algorithm and a language constraint, both defined in the context of the referred framework. The new constraint allows for interpreting a word by its meaning and consequently to overcome language differences.
Year
DOI
Venue
2012
10.1109/ICIS.2012.70
ACIS-ICIS
Keywords
Field
DocType
data mining,d2fp-growth algorithm,mining pattern,mining patterns,domain knowledge,new constraint,case study,multi-language data,mining technique,d2pm framework,new method,language difference,language constraint,knowledge based systems,ontology,ontologies,knowledge based system
Ontology (information science),Ontology,Domain driven data mining,Domain knowledge,Computer science,Knowledge-based systems,Artificial intelligence,Natural language processing,Multi language
Conference
Citations 
PageRank 
References 
1
0.37
6
Authors
2
Name
Order
Citations
PageRank
Cláudia Antunes116116.57
Tiago Bebiano210.37