期刊: ADVANCES IN DATA ANALYSIS AND CLASSIFICATION, 2018; 12 (4)
In this paper, we propose a new random forest (RF) algorithm to deal with high dimensional data for classification using subspace feature sampling met......
期刊: ADVANCES IN DATA ANALYSIS AND CLASSIFICATION, 2017; 11 (1)
In this paper, a new Support Vector Machine Plus (SVM+) type model called Minimum Class Variance SVM+ (MCVSVM+) is presented. Similar to SVM+, the pro......
期刊: ADVANCES IN DATA ANALYSIS AND CLASSIFICATION, 2017; 11 (4)
Time series attracts much attention for its remarkable forecasting potential. This paper discusses how fuzzy logic improves accuracy when forecasting ......
期刊: ADVANCES IN DATA ANALYSIS AND CLASSIFICATION, 2017; 11 (4)
Partially supervised learning extends both supervised and unsupervised learning, by considering situations in which only partial information about the......