Correlation mining has gained great success in many application domains for its ability to capture underlying dependencies between objects. However, research on correlation mining ...
Answer-set programming (ASP) has emerged recently as a viable programming paradigm well attuned to search problems in AI, constraint satisfaction and combinatorics. Propositional ...
In this paper, we present a comprehensive theoretical analysis of the sampling technique for the association rule mining problem. Most of the previous works have concentrated only...
Venkatesan T. Chakaravarthy, Vinayaka Pandit, Yogi...
Abstract. This paper presents a model of the co-evolution of transmissible disease and a population of non-randomly mixed susceptible agents. The presence of the disease elements i...
Many optimization techniques, including several targeted specifically at embedded systems, depend on the ability to calculate the number of elements that satisfy certain conditio...
Sven Verdoolaege, Rachid Seghir, Kristof Beyls, Vi...