By using data mining techniques, the data stored in a Data Warehouse (DW) can be
analyzed for the purpose of uncovering and predicting hidden patterns within the data. So …

The common approach to exploit mining constraints is to push them deeply into the mining
algorithms. In our paper we argue that this approach is based on an understanding of KDD …

Time is an important aspect of all real world phenomena. Any systems, approaches or
techniques that are concerned with information need to take into account the temporal …

Data mining algorithms usually generate a large number of rules, which may not always be
useful to human users. In this project, we propose a novel visual data-mining framework …

There is a massive increase of information available on electronic networks. This profusion
of resources on the World-Wide Web gave rise to considerable interest in the research …

Scalable data mining in large databases is one of today's real challenges to database
research area. The integration of data mining with database systems is an essential …

Information overloading is today a serious concern that may hinder the potential of modern
web-based information systems. A promising approach to deal with this problem is …

A lack of power and extensibility in their query languages has seriously limited the generality
of DBMSs and hampered their ability to support data mining applications. Thus, there is a …

Many pattern mining systems are designed to solve one specific problem, such as frequent,
closed or maximal frequent itemset mining, efficiently. Even though efficient, their …

We investigate ways to support interactive mining sessions, in the setting of association rule
mining. In such sessions, users specify conditions (filters) on the associations to be …