Table 6.

Data Mining for IoT.

Work	Name	Description
[127,128]	R	Open source programming language and software environment, is designed for data mining/analysis and visualization. It is used for data exploration, statistical analysis, and drawing plots.
[40,123,129,130]	Weka	Weka is a free and open-source machine learning and datamining software written in Java. Weka provides such functions as data processing, feature selection, classification, regression, clustering, association rule, and visualization, etc.
[131]	Rapid-I Rapidminer	Rapidminer is an open source software used for data mining, machine learning, and predictive analysis. Data mining and machine learning programs provided by RapidMiner include Extract, Transform and Load (ETL), data pre-processing and visualization, modeling, evaluation, and deployment.
[132]	KNMINE	It is a user-friendly, intelligent, and open-source-rich data integration, data processing, data analysis, and data mining platform.