A Parallel Distributed Weka Framework for Big Data Mining Using Spark

@article{Koliopoulos2015APD,
  title={A Parallel Distributed Weka Framework for Big Data Mining Using Spark},
  author={Aris-Kyriakos Koliopoulos and Paraskevas Yiapanis and Firat Tekiner and Goran Nenadic and John A. Keane},
  journal={2015 IEEE International Congress on Big Data},
  year={2015},
  pages={9-16}
}
Effective Big Data Mining requires scalable and efficient solutions that are also accessible to users of all levels of expertise. Despite this, many current efforts to provide effective knowledge extraction via large-scale Big Data Mining tools focus more on performance than on use and tuning which are complex problems even for experts. Weka is a popular and comprehensive Data Mining workbench with a well-known and intuitive interface, nonetheless it supports only sequential single-node… CONTINUE READING