multidimensional association rules with non repetitive predicate from Relational Database is given. The relational database that we considered here is for Computer Store.we mine the multidimensional Association rule from it.Boolean Matrix based approach has been employed to generate frequent item sets. It adopts Boolean relational calculus to discover frequent predicate sets. When using this algorithm First time, it scans the database once and will generate the association rules. Apriori property is used in algorithm to prune the item sets. It is not necessary to scan the database again; it uses Boolean logical operations to generate the association rules. Index Terms—Association rule, Multidimensional associatio
Data Mining and Data Warehousing are two hot topics in the database research area. Until recently, c...
Contextual association rules represent co-occurrences between contexts and properties of data, where...
Recently, data mining has attracted a great deal of attention in the information industry and in a S...
One of the primary goals of data mining is to extract patterns from a large volume of data. Rules ch...
Frequent pattern mining is one of the active research themes in data mining. It plays an important r...
Mining the Data is also known as Discovery of Knowledge in Databases. It is to get correlations, tre...
Association rules are generally recognized as a highly valuable type of regularities and various alg...
Abstract — Association rule mining is important research topic today. In this paper I have presented...
The association rule mining is one of the primary sub-areas in the field of data mining . This type ...
Association rules that involve two or more dimensions or predicates can be referred as multidimensio...
Mining association rules from a large collection of databases is based on two main tasks. One is gen...
Abstract: Mining association rules from databases has attracted great interest because of its poten...
This research work proposes discovery of quantitative association rule in spatial data that is relat...
Association rule mining is one of the key issues in knowledge discovery. The discovery of frequent p...
A meta-rule-guided data mining approach is proposed and studied which applies meta-rules as a guidan...
Data Mining and Data Warehousing are two hot topics in the database research area. Until recently, c...
Contextual association rules represent co-occurrences between contexts and properties of data, where...
Recently, data mining has attracted a great deal of attention in the information industry and in a S...
One of the primary goals of data mining is to extract patterns from a large volume of data. Rules ch...
Frequent pattern mining is one of the active research themes in data mining. It plays an important r...
Mining the Data is also known as Discovery of Knowledge in Databases. It is to get correlations, tre...
Association rules are generally recognized as a highly valuable type of regularities and various alg...
Abstract — Association rule mining is important research topic today. In this paper I have presented...
The association rule mining is one of the primary sub-areas in the field of data mining . This type ...
Association rules that involve two or more dimensions or predicates can be referred as multidimensio...
Mining association rules from a large collection of databases is based on two main tasks. One is gen...
Abstract: Mining association rules from databases has attracted great interest because of its poten...
This research work proposes discovery of quantitative association rule in spatial data that is relat...
Association rule mining is one of the key issues in knowledge discovery. The discovery of frequent p...
A meta-rule-guided data mining approach is proposed and studied which applies meta-rules as a guidan...
Data Mining and Data Warehousing are two hot topics in the database research area. Until recently, c...
Contextual association rules represent co-occurrences between contexts and properties of data, where...
Recently, data mining has attracted a great deal of attention in the information industry and in a S...