A Study of Open-Source Data Mining Tools for Forecasting

被引：2

作者：

Hasim, Nurdatillah ^{[1
]}

Abu Haris, Norhaidah ^{[1
]}

机构：

[1] Univ Kuala Lumpur, Malaysian Inst Informat Technol, Software Engn & Informat Syst Sect, Kuala Lumpur, Malaysia

来源：

ACM IMCOM 2015, PROCEEDINGS | 2015年

关键词：

Data Mining; Tools; Forecasting;

D O I：

10.1145/2701126.2701152

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

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.

引用

页数：4

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