SAMOA: Scalable Advanced Massive Online Analysis

De Francisci Morales, Gianmarco

dc.contributor.author	De Francisci Morales, Gianmarco
dc.date.accessioned	2021-12-01T02:27:37Z
dc.date.available	2021-12-01T02:27:37Z
dc.date.issued	2015
dc.identifier.uri	${sadil.baseUrl}/handle/123456789/872
dc.description	charts, data, ; 5 p.	en_US
dc.description.abstract	Samoa (Scalable Advanced Massive Online Analysis) is a platform for mining big data streams. It provides a collection of distributed streaming algorithms for the most common data mining and machine learning tasks such as classiﬁcation, clustering, and regression, as well as programming abstractions to develop new algorithms. It features a pluggablearchitecturethatallowsittorunonseveraldistributedstreamprocessingengines such as Storm, S4, and Samza. samoa is written in Java, is open source, and is available at http://samoa-project.net under the Apache Software License version 2.0. Keywords: data streams, distributed systems, classiﬁcation, clustering, regression, toolbox, machine learning	en_US
dc.language.iso	en	en_US
dc.publisher	Journal of Machine Learning Research	en_US
dc.relation.ispartofseries	Journal of Machine Learning Research 16 (2015);149-153
dc.subject	Samoa	en_US
dc.subject	Scalable Advanced Massive Online Analysis	en_US
dc.title	SAMOA: Scalable Advanced Massive Online Analysis	en_US
dc.type	Article	en_US