Performance evaluation of GIS-based new ensemble data mining techniques of adaptive neuro-fuzzy inference system (ANFIS) with genetic algorithm (GA), differential evolution (DE), and particle swarm optimization (PSO) for landslide spatial modelling
Sign Up to like & getrecommendations! Published in 2017 at "Catena"
DOI: 10.1016/j.catena.2017.05.034
Abstract: Abstract This paper presents GIS-based new ensemble data mining techniques that involve an adaptive neuro-fuzzy inference system (ANGIS) with genetic algorithm, differential evolution, and particle swarm optimization for landslide spatial modelling. This research was tested… read more here.
Keywords: mining techniques; data mining; genetic algorithm; ensemble data ... See more keywords
Robust Ensemble Data Analytics for Incomplete PMU Measurements-Based Power System Stability Assessment
Sign Up to like & getrecommendations! Published in 2018 at "IEEE Transactions on Power Systems"
DOI: 10.1109/tpwrs.2017.2698239
Abstract: This letter proposes a new ensemble data-analytics model for PMU-based pre-contingency stability assessment (SA) considering incomplete data measurements. The model consists of a minimum number of single classifiers which are, respectively, trained by a strategically… read more here.
Keywords: pmu measurements; data analytics; power; ensemble data ... See more keywords
Global Ocean Extreme Wave Heights from Spatial Ensemble Data
Sign Up to like & getrecommendations! Published in 2019 at "Journal of Climate"
DOI: 10.1175/jcli-d-19-0255.1
Abstract: A novel approach to estimation of extreme value ocean significant wave height is investigated, in which data from adjacent regions are pooled to form a spatial ensemble. The equivalent duration of this ensemble region is… read more here.
Keywords: extreme wave; ocean extreme; data global; spatial ensemble ... See more keywords
Comparison of Basic and Ensemble Data Mining Methods in Predicting 5-Year Survival of Colorectal Cancer Patients
Sign Up to like & getrecommendations! Published in 2017 at "Acta Informatica Medica"
DOI: 10.5455/aim.2017.25.254-258
Abstract: Introduction: Colorectal cancer (CRC) is one of the most common malignancies and cause of cancer mortality worldwide. Given the importance of predicting the survival of CRC patients and the growing use of data mining methods,… read more here.
Keywords: data mining; mining; year survival; ensemble data ... See more keywords