Ausgabe 4/2018
Special issue on “Science of big data: theory, methods and applications”
Inhalt (9 Artikel)
Special issue on “Science of big data: theory, methods and applications”
Hans A. Kestler, Paul D. McNicholas, Adalbert F. X. Wilhelm
Ensemble of a subset of kNN classifiers
Asma Gul, Aris Perperoglou, Zardad Khan, Osama Mahmoud, Miftahuddin Miftahuddin, Werner Adler, Berthold Lausen
Understanding non-linear modeling of measurement invariance in heterogeneous populations
Deana Desa
A comparative study on large scale kernelized support vector machines
Daniel Horn, Aydın Demircioğlu, Bernd Bischl, Tobias Glasmachers, Claus Weihs
A computationally fast variable importance test for random forests for high-dimensional data
Silke Janitza, Ender Celik, Anne-Laure Boulesteix
Rank-based classifiers for extremely high-dimensional gene expression data
Ludwig Lausser, Florian Schmid, Lyn-Rouven Schirra, Adalbert F. X. Wilhelm, Hans A. Kestler
Ensemble feature selection for high dimensional data: a new method and a comparative study
Afef Ben Brahim, Mohamed Limam
An efficient random forests algorithm for high dimensional data classification
Qiang Wang, Thanh-Tung Nguyen, Joshua Z. Huang, Thuy Thi Nguyen
Equi-Clustream: a framework for clustering time evolving mixed data
Ravi Sankar Sangam, Hari Om