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ACM SIGKDD Explorations Newsletter

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No detectada desde jun. 1999 / hasta dic. 2023 ACM Digital Library

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Tipo de recurso:

revistas

ISSN impreso

1931-0145

ISSN electrónico

1931-0153

Editor responsable

Association for Computing Machinery (ACM)

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Copyright © ACM, Inc.

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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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