Real-time big data stream analytics

Albert Bifet

Real-time big data stream analytics

Albert Bifet

Université Paris-Saclay

Résultats de recherche: Contribution à un journal › Article de conférence › Revue par des pairs

Résumé

Big Data is a new term used to identify datasets that we cannot 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. moa is a software framework with classification, regression, and frequent pattern methods, and the new Apache Samoa is a distributed streaming software for mining data streams.

langue originale	Anglais
Pages (de - à)	13-14
Nombre de pages	2
journal	CEUR Workshop Proceedings
Volume	1478
état	Publié - 1 janv. 2015
Modification externe	Oui
Evénement	2nd Annual International Symposium on Information Management and Big Data, SIMBig 2015 - Cusco, Pérou Durée: 2 sept. 2015 → 4 sept. 2015

Contient cette citation

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title = "Real-time big data stream analytics",

abstract = "Big Data is a new term used to identify datasets that we cannot 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. moa is a software framework with classification, regression, and frequent pattern methods, and the new Apache Samoa is a distributed streaming software for mining data streams.",

author = "Albert Bifet",

year = "2015",

month = jan,

day = "1",

language = "English",

volume = "1478",

pages = "13--14",

journal = "CEUR Workshop Proceedings",

issn = "1613-0073",

note = "2nd Annual International Symposium on Information Management and Big Data, SIMBig 2015 ; Conference date: 02-09-2015 Through 04-09-2015",

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T1 - Real-time big data stream analytics

AU - Bifet, Albert

PY - 2015/1/1

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N2 - Big Data is a new term used to identify datasets that we cannot 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. moa is a software framework with classification, regression, and frequent pattern methods, and the new Apache Samoa is a distributed streaming software for mining data streams.

AB - Big Data is a new term used to identify datasets that we cannot 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. moa is a software framework with classification, regression, and frequent pattern methods, and the new Apache Samoa is a distributed streaming software for mining data streams.

M3 - Conference article

AN - SCOPUS:84961307975

SN - 1613-0073

VL - 1478

SP - 13

EP - 14

JO - CEUR Workshop Proceedings

JF - CEUR Workshop Proceedings

T2 - 2nd Annual International Symposium on Information Management and Big Data, SIMBig 2015

Y2 - 2 September 2015 through 4 September 2015

ER -

Real-time big data stream analytics

Résumé

Empreinte digitale

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