An Improved MapReduce Design of Kmeans with Iteration Reducing for Clustering Stock Exchange Very Large Datasets

Oussama Lachiheb, Mohamed Salah Gouider, Lamjed Ben Said. An Improved MapReduce Design of Kmeans with Iteration Reducing for Clustering Stock Exchange Very Large Datasets. In 11th International Conference on Semantics, Knowledge and Grids, SKG 2015, Beijing, China, August 19-21, 2015. pages 252-255, IEEE, 2015. [doi]

@inproceedings{LachihebGS15,
  title = {An Improved MapReduce Design of Kmeans with Iteration Reducing for Clustering Stock Exchange Very Large Datasets},
  author = {Oussama Lachiheb and Mohamed Salah Gouider and Lamjed Ben Said},
  year = {2015},
  doi = {10.1109/SKG.2015.24},
  url = {http://doi.ieeecomputersociety.org/10.1109/SKG.2015.24},
  researchr = {https://researchr.org/publication/LachihebGS15},
  cites = {0},
  citedby = {0},
  pages = {252-255},
  booktitle = {11th International Conference on Semantics, Knowledge and Grids, SKG 2015, Beijing, China, August 19-21, 2015},
  publisher = {IEEE},
  isbn = {978-1-4673-9808-4},
}