This research aims to develop effective techniques for enhancing association rule mining and associative classification. In particular, for association rule mining, we investigate new techniques for measure and constraint for association rules. For associative classification, we investigate new techniques for discovering association rules effectively for classification, especially from large datasets.DOCTOR OF PHILOSOPHY(SCE
Since the introduction of association rules, many algorithms have been developed to perform the comp...
Associative classification (AC) is a data mining approach that combines association rule and classif...
As we all know that association rule is used to find out the rules that are associated with the item...
This research aims to develop effective techniques for enhancing association rule mining and associa...
In today’s world, the amount of data transfer has been increasing in a fast pace in all fields due t...
AbstractIn the field of data mining, deriving set of rules from large dataset is primary objective. ...
Association analysis, classification and clustering are three different techniques in data mining. A...
Classification and association rule discovery are important data mining tasks. Using association rul...
Abstract: Association rule mining and classification are two major task of data mining. I propose a ...
Associative classification has shown great promise over many other classification techniques. Howeve...
Associative classification has shown great promise over many other classification techniques. Howeve...
Associative classification is a new classification approach integrating association mining and class...
Abstract- Data is important property for everyone. Large amount of data is available in the world. T...
Abstract: Many algorithms to mine the association rules are divided into two stages, the first is to...
ABSTRACT: Association rule mining is an important field of knowledge discovery in database. Associa...
Since the introduction of association rules, many algorithms have been developed to perform the comp...
Associative classification (AC) is a data mining approach that combines association rule and classif...
As we all know that association rule is used to find out the rules that are associated with the item...
This research aims to develop effective techniques for enhancing association rule mining and associa...
In today’s world, the amount of data transfer has been increasing in a fast pace in all fields due t...
AbstractIn the field of data mining, deriving set of rules from large dataset is primary objective. ...
Association analysis, classification and clustering are three different techniques in data mining. A...
Classification and association rule discovery are important data mining tasks. Using association rul...
Abstract: Association rule mining and classification are two major task of data mining. I propose a ...
Associative classification has shown great promise over many other classification techniques. Howeve...
Associative classification has shown great promise over many other classification techniques. Howeve...
Associative classification is a new classification approach integrating association mining and class...
Abstract- Data is important property for everyone. Large amount of data is available in the world. T...
Abstract: Many algorithms to mine the association rules are divided into two stages, the first is to...
ABSTRACT: Association rule mining is an important field of knowledge discovery in database. Associa...
Since the introduction of association rules, many algorithms have been developed to perform the comp...
Associative classification (AC) is a data mining approach that combines association rule and classif...
As we all know that association rule is used to find out the rules that are associated with the item...