Add to ORKGAssociation rules mining is one of the the most relevant techniques of data mining. It has been also applied in the domain of text mining, but the results are hard to interpret. In this matter, an Association Network is an structure to represent as a graph the relationships mined as association rules. The goal of this project was to provide a methodology to build association networks from concepts extracted from a collection of documents, as well as the study of the mathematical properties of the association networks to prove that they are not random graphs and that they exhibit small-world properties
Abstract Text Mining is a research area of retrieving high quality hidden information such as patter...
Graph mining is the study of how to perform data mining and machine learning on data represented wit...
Most of the existing text mining approaches are proposed, keeping in mind, transaction databases mod...
Association rules mining is one of the the most relevant techniques of data mining. It has been also...
Concepts are often related to short sequences of words that occur frequently together across the tex...
AbstractÐMining association rules is an important task for knowledge discovery. We can analyze past ...
The main topic of this doctoral dissertation is the extraction of valuable in- formation associate...
This paper presents a system for discovering association rules from collections of unstructured docu...
This paper describes text mining technique for automatically extracting association rules from colle...
In this work we propose a generalisation of the notion of association rule in the context of flat tr...
In this work we propose a generalisation of the notion of association rule in the context of flat tr...
With a large volume of electronic documents, find-ing documents the contents of which are same or si...
Text Mining has become a specialized offshoot of Data Mining, Information Retrieval, and Natural Lan...
Abstract: The role of data mining is to search “the space of candidate hypotheses ” to offer solutio...
We view association of concepts as a complex network and present a heuristic for clustering concepts...
Abstract Text Mining is a research area of retrieving high quality hidden information such as patter...
Graph mining is the study of how to perform data mining and machine learning on data represented wit...
Most of the existing text mining approaches are proposed, keeping in mind, transaction databases mod...
Association rules mining is one of the the most relevant techniques of data mining. It has been also...
Concepts are often related to short sequences of words that occur frequently together across the tex...
AbstractÐMining association rules is an important task for knowledge discovery. We can analyze past ...
The main topic of this doctoral dissertation is the extraction of valuable in- formation associate...
This paper presents a system for discovering association rules from collections of unstructured docu...
This paper describes text mining technique for automatically extracting association rules from colle...
In this work we propose a generalisation of the notion of association rule in the context of flat tr...
In this work we propose a generalisation of the notion of association rule in the context of flat tr...
With a large volume of electronic documents, find-ing documents the contents of which are same or si...
Text Mining has become a specialized offshoot of Data Mining, Information Retrieval, and Natural Lan...
Abstract: The role of data mining is to search “the space of candidate hypotheses ” to offer solutio...
We view association of concepts as a complex network and present a heuristic for clustering concepts...
Abstract Text Mining is a research area of retrieving high quality hidden information such as patter...
Graph mining is the study of how to perform data mining and machine learning on data represented wit...
Most of the existing text mining approaches are proposed, keeping in mind, transaction databases mod...