ROCK Algorithm Parallelization with TOREADOR Primitives

We present the benefits of applying the code once deploy everywhere approach to clustering of categorical data over large datasets. The paper brings two main contributions: an step-by step application of the code based approach and an enhancement for the ROCK algorithm for clustering categorical dat...

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Bibliographic Details

Published in:	2018 32nd International Conference on Advanced Information Networking and Applications Workshops (WAINA) pp. 402 - 407
Main Authors:	Di Martino, Beniamino, DAngelo, Salvatore, Esposito, Antonio, Cappuzzo, Riccardo, de Oliveira, Anderson Santana
Format:	Conference Proceeding
Language:	English
Published:	IEEE 01.05.2018
Subjects:	Big Data clustering Clustering algorithms Distributed databases Labeling parallelization ROCK algorithm Rocks Skeleton Storms
Online Access:	Get full text
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