In the 2-4-6 rule discovery task, reasoners seek to discover a rule that governs the arrangement of three numbers (or triple). The to-be-discovered rule is ‘any increasing sequence’. Upon being given the triple 2-4-6 as an initial example, however, reasoners are lured to formulate overly specific hypotheses. Traditionally, this task is conducted primarily from an internal representation of the ...

In this paper we build on recent work on case-based product recommendation focused on generating rich product descriptions for use in a recommendation context by mining user-generated reviews. This is in contrast to conventional case-based approaches which tend to rely on case descriptions that are based on available meta-data or catalog descriptions. By mining user-generated reviews we can pro...

Recommendation systems for the mobile Web have focused on endorsing specificr content based on user preferences. But, user preferences vary in different contexts, such as at different times of day and in different locations. Therefore, in a mobile networking setting, providing proactive personalized service is more likely to depend on actual user context. This paper proposed a context-aware mob...

The quality of rules generated by ontology-driven association rule mining algorithms is constrained by the algorithm’s effectiveness in exploiting the usually large ontology in the mining process. We present a framework built around superimposing a hierarchical graph structure on a given ontology to divide the rule mining problem into disjoint subproblems whose solutions can be iteratively join...

In this paper is presented an overview and conclusions of topics and ideas discussed in the e Music Interfaces panel that took place during the MOSART Workshop – Workshop on Current Research Directions in Computer Music Barcelona, November17 of 2001. The invited members of Panel were: Antonio Camurri (DIST-University of Genova, Italy); Sergi Jorda (IUA-Pompeu Fabra University in Barcelona, Spai...

The fifth generation (5G) mobile networks expect significantly higher transmission rate and energy efficiency than existing networks. Heterogeneous networks (HetNets), where various low power base stations (BSs) are underlaid in a macro-cellular network, are likely to become the dominate theme during the wireless evolution towards 5G. However the complex HetNets scenario poses substantial chall...

This paper introduces a new algorithm called User Association Rules Mining (UARM) for solving the problem of generating inadequate large number of rules in mining association technique using a fuzzy logic method [1, 2]. In order to avoid user’s defined threshold mistakes, the user has flexibility to determine constraints based on a set of features. In comparison with other well-known and widely...

Association rule mining is an important mining function because of its completeness. It has been even used to generate classi ers and to segment database. However the current model of association rule mining poses problems regarding exibility while handling evolving databases. The expensive process of massive rule discovery discourages frequent application of mining algorithm for exploratory mi...