“...Information visualization (InfoVis), the study of transforming data, information, and knowledge into interactive visual representations, is very important to...”

“...Training a support vector machine (SVM) on large datasets is a slow daunting process. Further, SVM becomes slow in the testing phase, due to its large number...”

“...Trending topics in Twitter is a collection of certain topics that are widely discussed by users. This study aims to design a model and strategy for finding...”

“...Given a set of millions or even billions of complex objects for descriptive data mining, how to effectively reduce the data dimensionality? It must be...”

“...In this study, we present a novel method for quantifying dependencies in multivariate datasets, based on estimating the Rényi mutual information by minimum...”

“...When dealing with datasets that are characterized by a large number of instances, multiobjective evolutionary learning (MOEL) of fuzzy rule-based systems...”

“...We analyse variations in prehistoric agricultural settlement behaviour both in space and time to detect main turning points and shifts in settlement patterns...”

“...In order to overcome the difficulty in Takagi-Sugeno-Kang (TSK) fuzzy modeling for large datasets, scalable TSK (STSK) fuzzy-model training is investigated in...”

“...A novel transfer support vector machine called TSVM-GP with group probabilities is proposed for the scenarios where plenty of labeled data in the source domain...”

“...This article develops a block composite likelihood for estimation and prediction in large spatial datasets. The composite likelihood (CL) is constructed from...”