Scaling Big Data Applications in Smart City with Coresets

Le Trang, Hind Bangui, Mouzhi Ge, Barbora Buhnova

2019

Abstract

With the development of Big Data applications in Smart Cities, various Big Data applications are proposed within the domain. These are however hard to test and prototype, since such prototyping requires big computing resources. In order to save the effort in building Big Data prototypes for Smart Cities, this paper proposes an enhanced sampling technique to obtain a coreset from Big Data while keeping the features of the Big Data, such as clustering structure and distribution density. In the proposed sampling method, for a given dataset and an ε>0, the method computes an ε-coreset of the dataset. The ε-coreset is then modified to obtain a sample set while ensuring the separation and balance in the set. Furthermore, by considering the representativeness of each sample point, our method can helps to remove noises and outliers. We believe that the coreset-based technique can be used to efficiently prototype and evaluate Big Data applications in the Smart City.

Paper Citation

in Harvard Style

Trang L., Bangui H., Ge M. and Buhnova B. (2019). Scaling Big Data Applications in Smart City with Coresets.In Proceedings of the 8th International Conference on Data Science, Technology and Applications - Volume 1: DATA, ISBN 978-989-758-377-3, pages 357-363. DOI: 10.5220/0007958803570363

in Bibtex Style

@conference{data19,
author={Le Trang and Hind Bangui and Mouzhi Ge and Barbora Buhnova},
title={Scaling Big Data Applications in Smart City with Coresets},
booktitle={Proceedings of the 8th International Conference on Data Science, Technology and Applications - Volume 1: DATA,},
year={2019},
pages={357-363},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0007958803570363},
isbn={978-989-758-377-3},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 8th International Conference on Data Science, Technology and Applications - Volume 1: DATA,
TI - Scaling Big Data Applications in Smart City with Coresets
SN - 978-989-758-377-3
AU - Trang L.
AU - Bangui H.
AU - Ge M.
AU - Buhnova B.
PY - 2019
SP - 357
EP - 363
DO - 10.5220/0007958803570363