This research applies an association rule mining technique to purely syntactic dialect data. The paper answers the research question of how relevant associations between syntactic variables can be discovered. The method calculates the proportional overlap between geographical distributions of syntactic microvariables and incorporates rule quality factors such as accuracy, coverage and completeness to measure the interestingness of the variable associations. The exploratory review of the results discusses several highly ranked association rules and also examines an implicational chain of syntactic variables
The process of syntactic pattern recognition makes the analogy between the syntax of languages and t...
© 2018 Dr. Ned LetcherPrecision grammars are hand-crafted computational models of human languages th...
Spatial co-location pattern mining and classification association rule discovery are two canonical t...
This research applies an association rule mining technique to purely syntactic dialect data. The pap...
Syntactic databases are increasingly available and are put to a variety of uses, including serving a...
AbstractThis paper contains a method for direct search of associations from numerical data that are ...
This is the author accepted manuscript. The final version is available from Springer via the DOI in ...
This paper has proposed a rough-Apriori based mining technique in mining linguistic association rule...
We develop an aggregate measure of syntactic difference for automatically finding common syntactic d...
. Mining association rules has become an important datamining task, and meanwhile many algorithms ha...
We develop an aggregate measure of syn-tactic difference for automatically finding typical syntactic...
The discovery of new and potentially meaningful relationships between named entities in biomedical l...
[[abstract]]Attributed grammars are defned from the pattern recognidon point of view and shown to be...
This dissertation explores data-driven methodology of finding recurrent structure withinand between ...
This research aims to develop effective techniques for enhancing association rule mining and associa...
The process of syntactic pattern recognition makes the analogy between the syntax of languages and t...
© 2018 Dr. Ned LetcherPrecision grammars are hand-crafted computational models of human languages th...
Spatial co-location pattern mining and classification association rule discovery are two canonical t...
This research applies an association rule mining technique to purely syntactic dialect data. The pap...
Syntactic databases are increasingly available and are put to a variety of uses, including serving a...
AbstractThis paper contains a method for direct search of associations from numerical data that are ...
This is the author accepted manuscript. The final version is available from Springer via the DOI in ...
This paper has proposed a rough-Apriori based mining technique in mining linguistic association rule...
We develop an aggregate measure of syntactic difference for automatically finding common syntactic d...
. Mining association rules has become an important datamining task, and meanwhile many algorithms ha...
We develop an aggregate measure of syn-tactic difference for automatically finding typical syntactic...
The discovery of new and potentially meaningful relationships between named entities in biomedical l...
[[abstract]]Attributed grammars are defned from the pattern recognidon point of view and shown to be...
This dissertation explores data-driven methodology of finding recurrent structure withinand between ...
This research aims to develop effective techniques for enhancing association rule mining and associa...
The process of syntactic pattern recognition makes the analogy between the syntax of languages and t...
© 2018 Dr. Ned LetcherPrecision grammars are hand-crafted computational models of human languages th...
Spatial co-location pattern mining and classification association rule discovery are two canonical t...