Mining Big Data in real time

Título:

Mining Big Data in real time

Autor:

Bifet, Albert

Colaboradores:

; 

Temas:

MINERÍA DE DATOSBIG DATASISTEMAS DE TIEMPO REAL

En:

Informatica, 2013, 37(1), pp. 15-20

Resumen:

Streaming data analysis in real time is becoming the fastest and most efficient way to obtain useful knowledge from what is happening now, allowing organizations to react quickly when problems appear or to detect new trends helping to improve their performance. Evolving data streams are contributing to the growth of data created over the last few years. We are creating the same quantity of data every two days, as we created from the dawn of time up until 2003. Evolving data streams methods are becoming a low-cost, green methodology for real time online prediction and analysis. We discuss the current and future trends of mining evolving data streams, and the challenges that the field will have to overcome during the next years.

URL/DOI:

http://www.informatica.si/index.php/informatica/article/view/428/432

Medio:

Soporte electrónico

Tipo de documento:

Artículo

Descripción física:

1 archivo (569,4 KB)

Idioma:

Inglés

Publicación:

Slovenian Society Informatika, 2012

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