Next to prediction accuracy, the interpretability of models is one of the fundamental criteria for machine learning algorithms. While high accuracy learners have intensively been e...
Abstract-- Associative classification is a new classification approach integrating association mining and classification. It becomes a significant tool for knowledge discovery and ...
In this paper, we present a new algorithm for clustering data in large datasets using image processing approaches. First the dataset is mapped into a binary image plane. The synthe...
— Mobile Agents model is widely accepted as a good solution to simplify the coordination in a complex and distributed environment. Pervasive computing, presents many issues regar...
Most affinity-based grouping methods only model the inclusive relation among the data. When the data set contains a significant amount of noise data that should not be included in...