An Accelerated MapReduce-Based K-prototypes for Big Data-Reference-Cited by-同舟云学术

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An Accelerated MapReduce-Based K-prototypes for Big Data

Published:2016 Issue: Volume: Page:13-25
ISSN:0302-9743
Container-title:Software Technologies: Applications and Foundations
language:
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Author:

HajKacem Mohamed Aymen Ben,N’cir Chiheb-Eddine Ben,Essoussi Nadia

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-319-50230-4_2

Reference23 articles.

1. Ahmad, A., Dey, L.: A k-mean clustering algorithm for mixed numeric and categorical data. Data Knowl. Eng. 63(2), 503–527 (2007)

2. Bahmani, B., Moseley, B., Vattani, A., Kumar, R., Vassilvitskii, S.: Scalable k-means++. Proc. VLDB Endowment 5(7), 622–633 (2012)

3. Ben Haj Kacem, M.A., Ben N’cir, C.E., Essoussi, N.: MapReduce-based k-prototypes clustering method for big data. In: Proceedings of Data Science and Advanced Analytics, pp. 1–7(2015)

4. Cui, X., Zhu, P., Yang, X., Li, K., Ji, C.: Optimized big data k-means clustering using mapReduce. J. Supercomput. 70(3), 1249–1259 (2014)

5. Dean, J., Ghemawat, S.: MapReduce: simplified data processing on large clusters. Commun. ACM 51(1), 107–113 (2008)

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