A Study Of Open-Source Data Mining Tools For Forecasting

Nurdatillah Hasim; Norhaidah Abu Haris; (UniKL MIIT)

Please use this identifier to cite or link to this item: http://hdl.handle.net/123456789/9728

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DC Field	Value	Language
dc.contributor.author	Nurdatillah Hasim	-
dc.contributor.author	Norhaidah Abu Haris	-
dc.contributor.author	(UniKL MIIT)	-
dc.date.accessioned	2015-03-30T04:33:33Z	-
dc.date.available	2015-03-30T04:33:33Z	-
dc.date.issued	2015-01	-
dc.identifier.citation	Nurdatillah Hasim and Norhaidah Abu Haris. 2015. A study of open-source data mining tools for forecasting. In Proceedings of the 9th International Conference on Ubiquitous Information Management and Communication (IMCOM '15). ACM, New York, NY, USA, , Article 79 , 4 pages. DOI=10.1145/2701126.2701152 http://doi.acm.org/10.1145/2701126.2701152	en_US
dc.identifier.issn	978-1-4503-3377-1	-
dc.identifier.uri	http://localhost/xmlui/handle/123456789/9728	-
dc.description.abstract	This paper described five open-sources Data Mining (DM) tools which are Weka, RapidMiner, KEEL, Orange and Tanagra. The features and functionality of these DM tools can be benefited by educators and researchers. The DM algorithms embedded in the tools can be utilized for forecasting. Weka and RapidMiner have most of the desire characteristic for a fully-functional and flexible platform therefore their use can be recommended for most of DM tasks.	en_US
dc.publisher	ACM	en_US
dc.subject	Data mining	en_US
dc.subject	Tools	en_US
dc.subject	Forecasting	en_US
dc.title	A Study Of Open-Source Data Mining Tools For Forecasting	en_US
dc.conference.name	International Conference on Ubiquitous Information Management and Communication	en_US
dc.conference.year	2015	en_US
Appears in Collections:	Conference Paper

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