Minimal parallelism was recently introduced [3] as a way of using the rules of a P system: from each set of applicable rules associated to a membrane, at least one rule must be ap...
Numerous measures are used for performance evaluation in machine learning. In predictive knowledge discovery, the most frequently used measure is classification accuracy. With new...
Transformational approaches to generating design and implementation models from requirements can bring effectiveness and quality to software development. In this paper we present a...
Jian Yu, Yanbo Han, Jun Han, Yan Jin, Paolo Falcar...
The k-nearest-neighbor rule is one of the most attractive pattern classification algorithms. In practice, the choice of k is determined by the cross-validation method. In this wor...
In this study, a new classification technique based on rough set theory and MEPAR-miner algorithm for association rule mining is introduced. Proposed method is called as `Reduced ...