A Method for Classification Based on Association Rules Using Ontology in Web Data
This paper shows a new method based on association rule mining and ontology for the classification of web pages. This paper is pruning of association rules, generated by mining process. The main complexity arises due to the fact that there are various number of text documents that are considered for generating the association rules using the A-priori algorithm. But these rules that were generated are not based on the semantic knowledge. In order to obtain the most accurate rules the authors gone for the construction of the ontology, based on the domain knowledge. With this domain knowledge they design various operators which are helpful in reducing the rules generated. Thus, the various rules that they get are semantically correct with regards to the domain selected.