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ACM SIGKDD Explorations Newsletter
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Disponibilidad
Institución detectada | Período | Navegá | Descargá | Solicitá |
---|---|---|---|---|
No detectada | desde jun. 1999 / hasta dic. 2023 | ACM Digital Library |
Información
Tipo de recurso:
revistas
ISSN impreso
1931-0145
ISSN electrónico
1931-0153
Editor responsable
Association for Computing Machinery (ACM)
Fecha de publicación
1999-
Información sobre derechos de publicación
Copyright © ACM, Inc.
Cobertura temática
Tabla de contenidos
Mining big data
Wei Fan; Albert Bifet
<jats:p> <jats:italic>Big Data</jats:italic> is a new term used to identify datasets that we can not manage with current methodologies or data mining software tools due to their large size and complexity. <jats:italic>Big Data mining</jats:italic> is the capability of extracting useful information from these large datasets or streams of data. New mining techniques are necessary due to the volume, variability, and velocity, of such data. The Big Data challenge is becoming one of the most exciting opportunities for the years to come. We present in this issue, a broad overview of the topic, its current status, controversy, and a forecast to the future. We introduce four articles, written by influential scientists in the field, covering the most interesting and state-of-the-art topics on Big Data mining. </jats:p>
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