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Mining Big Data: Current Status, and Forecast to the Future ontoligent http://zotero.org/users/10812 http://zotero.org/users/10812/items/GF7F5HPS 2017-06-24T17:44:59Z 2017-06-24T17:44:59Z GF7F5HPS 4578 journalArticle Fan and Bifet 2013-04 1
Type Journal Article
Author Wei Fan
Author Albert Bifet
URL http://doi.acm.org/10.1145/2481244.2481246
Volume 14
Issue 2
Pages 1–5
Publication SIGKDD Explor. Newsl.
ISSN 1931-0145
Date April 2013
DOI 10.1145/2481244.2481246
Library Catalog ACM Digital Library
Abstract Big Data 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. Big Data mining 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.
Short Title Mining Big Data

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