Data Mining : Concepts and Techniques -3/Ed.

TL;DR: A hybrid ensemble classifier is proposed that combines the representative algorithms of Instance based learner, Naïve Bayes Tree and Decision Tree Algorithms using voting methodology and is applied on 28 bench mark dataset.

TL;DR: In this paper, the authors investigated the relationship between climate factors and LEED credits using data mining techniques and found that some climate factors, such as diurnal temperature range, have a notable correlation with the achievement of certain LEED attributes.

TL;DR: A hybrid approach combining genetic algorithm(GA) and K-means algorithm, called KGA is proposed in this paper for design of clustering protocol with energy efficiency for non-homogeneous wireless sensor network.

TL;DR: The results of this study showed that data mining techniques may be used to analyse diseases such as ARF and it was thought that it should not be necessary for patients to have a chest x-ray which is needed for diagnosis of "teleNormal" and "cardiomegaly".