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Scalable analytics - algorithms and systems

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (2012) 7678 LNCS 1-7
DOI: 10.1007/978-3-642-35542-4_1
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Abstract

The amount of data collected is increasing and the time window to leverage this has been decreasing. To satisfy the twin requirements, both algorithms and systems have to keep pace. The goal of this tutorial is to provide an overview of the common problems, algorithms, and systems for handling large-scale analytics tasks. © Springer-Verlag 2012.

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Sengamedu, S. H. (2012). Scalable analytics - algorithms and systems. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 7678 LNCS, pp. 1–7). https://doi.org/10.1007/978-3-642-35542-4_1

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