Case-based object recognition requires a general case of the object that should be detected. Real world applications such as the recognition of biological objects in images cannot be solved by one general case. A case-base is necessary to handle the great natural variations in the appearance of these objects. In this paper we will present how to learn a hierarchical case base of general cases. ...

Currently, social bookmarking systems provide intuitive support for browsing locally their content. A global view is usually presented by the tag cloud of the system, but it does not allow a conceptual drill-down, e. g., along a conceptual hierarchy. In this paper, we present a clustering approach for computing such a conceptual hierarchy for a given folksonomy. The hierarchy is complemented wi...

In this work we analyse the relation between hierarchical distancebased clustering and the concepts that can be obtained from the hierarchy by generalisation. Many inconsistencies may arise, because the distance and the conceptual generalisation operator are usually incompatible. To overcome this, we propose an algorithm which integrates distance-based and conceptual clustering. The new dendrog...

In order to build descriptions of prototypical situations, we first developed a system, MLK (Memorization for Learning Knowledge), allowing us to gather events related to similar situations starting from descriptions found in texts, these events being represented by conceptual graphs. One of the stages to build these prototypes consists of generalizing some similar graphs in order to produce a ...

Share of wallet is a key factor in Customer relationship management system (CRM) which is an important application of E-business. Research has found that share of wallet is an important indicator to measure customer loyalty and customer potential value. On the basis of the existent marketing literatures, this study analyzes the variables influencing share of wallet according the traits of the B...