Add to ORKGWe have a large database consisting of user profile information together with behavioral patterns. We introduce the concept of profile association rules, which discusses the problem of relating consumer buying behavior to behavioral information. We investigate the problem of online mining of profile association rules in this large database. We show how to use multidimensional indexing structures in order to actually perform the mining. The use of multidimensional indexing structures to perform profile mining provides considerable advantages in terms of the ability to perform very generic range based online queries
We introduce the problem of mining association rules in large relational tables containing both quan...
Abstract- Data mining is the process of extracting interesting, useful and previously unknown inform...
In the past, most incremental mining and online mining algorithms considered finding the set of asso...
[[abstract]]Most incremental mining and online mining algorithms concentrate on finding association ...
User profiling has wide applications such as personalization, intrusion detection, and online custom...
We present a novel algorithm to compute large itemsets online. It needs at most two scans of the tra...
Data warehouses and OLAP (online analytical processing) provide tools to explore and navigate throug...
[[abstract]]Mining association rules is an important task. Past transaction data can be analyzed to ...
Data warehouses and OLAP (online analytical processing) provide tools to explore and navigate throug...
Abstract: Mining association rules from databases has attracted great interest because of its poten...
Data mining uses a technique of Association Rule Mining to generate rules in an efficient way. Assoc...
Mining association rules from a large collection of databases is based on two main tasks. One is gen...
Mining association rules from a large collection of databases is based on two main tasks. One is gen...
Abstract: We consider the problem of discovering association rules between items in a large database...
[[abstract]]Recently, some researchers have developed incremental and online mining approaches to ma...
We introduce the problem of mining association rules in large relational tables containing both quan...
Abstract- Data mining is the process of extracting interesting, useful and previously unknown inform...
In the past, most incremental mining and online mining algorithms considered finding the set of asso...
[[abstract]]Most incremental mining and online mining algorithms concentrate on finding association ...
User profiling has wide applications such as personalization, intrusion detection, and online custom...
We present a novel algorithm to compute large itemsets online. It needs at most two scans of the tra...
Data warehouses and OLAP (online analytical processing) provide tools to explore and navigate throug...
[[abstract]]Mining association rules is an important task. Past transaction data can be analyzed to ...
Data warehouses and OLAP (online analytical processing) provide tools to explore and navigate throug...
Abstract: Mining association rules from databases has attracted great interest because of its poten...
Data mining uses a technique of Association Rule Mining to generate rules in an efficient way. Assoc...
Mining association rules from a large collection of databases is based on two main tasks. One is gen...
Mining association rules from a large collection of databases is based on two main tasks. One is gen...
Abstract: We consider the problem of discovering association rules between items in a large database...
[[abstract]]Recently, some researchers have developed incremental and online mining approaches to ma...
We introduce the problem of mining association rules in large relational tables containing both quan...
Abstract- Data mining is the process of extracting interesting, useful and previously unknown inform...
In the past, most incremental mining and online mining algorithms considered finding the set of asso...