ParaDist-HMM: A Parallel Distributed Implementation of Hidden Markov Model for Big Data Analytics using Spark

Big Data is an extremely massive amount of hetero-geneous and multisource data which often requires fast processing and real time analysis. Solving big data analytics problems needs powerful platforms to handle this enormous mass of data and efficient machine learning algorithms to allow the use of...

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Veröffentlicht in:	International journal of advanced computer science & applications Jg. 12; H. 4
Hauptverfasser:	Sassi, Imad, Anter, Samir, Bekkhoucha, Abdelkrim
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	West Yorkshire Science and Information (SAI) Organization Limited 2021
Schlagworte:	Accuracy Algorithms Big Data Cloud computing Data analysis Machine learning Markov chains Mathematical analysis Polytopes Run time (computers) Statistical models
ISSN:	2158-107X, 2156-5570
Online-Zugang:	Volltext
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