CONDCLOSE-new algorithm of association rules extraction

In this section, we present a new algorithm, called the decision-directed modulus algorithm (DDMA), designed to improve the performance of the CMA and the DDA, in terms of

(por «acontecimento» entende-se algo que tenha acontecido durante a sessão. Poderá ser algo que disse, ou fez, ou algo que o terapeuta ou outro participante do grupo disse

The ACDR algorithm consists of 5 main steps which are (1) finding association rules, (2) clustering target association rules and general association rules into two groups

The M2 indicator is a measure of the minimal deviations compared to the minimal deviations average (the weight of minimal deviations in the cumulated minimal deviations average

In order to escape from local optima, this algorithm typically has a control parameter called temperature (T). As the temperature falls through the algorithm, the

In this study, we introduce a complete background extraction system; a combination of a simple method to model the background, a new algorithm to initialize the background, a

In this paper we propose a new approach based on Particle Swarm Optimization Algorithm to mine association rules for both frequent and infrequent itemsets in an efficient way.

Some improvements on Chen’s algorithm were made by Coppersmith and Seroussi [3] who used their algorithm to compute the minimal distance of some binary and ternary quadratic