Latest Tools for Data Mining and Machine Learning

Abstract

Nowadays, Data Mining is used everywhere for extracting information from the data and in turn, acquires knowledge for decision making. Data Mining analyzes patterns which are used to extract information and knowledge for making decisions. Many open source and licensed tools like Weka, RapidMiner, KNIME, and Orange are available for Data Mining and predictive analysis. This paper discusses about different tools available for Data Mining and Machine Learning, followed by the description, pros and cons of these tools. The article provides details of all the algorithms like classification, regression, characterization, discretization, clustering, visualization and feature selection for Data Mining and Machine Learning tools. It will help people for efficient decision making and suggests which tool is suitable according to their requirement.

A review on predictive maintenance technique for nuclear reactor cooling system using machine learning and augmented reality

“…RapidMiner is an open-source data science software program that can be used for many data and text mining projects and is compatible with various operating systems [22]. It is a platform for ML, data mining, image processing, and business analytics tools that include an extraction operator for determining the project's characteristics and performing specific operations [23]. Using techniques like predictive data analysis and descriptive data analysis can provide information that will help the user make more informed decisions [24].…”

“…Rosado et al [27] Using the naïve Bayes classification technique in RapidMiner to predict the performance improvement of junior high school students based on certain criteria. Samant et al [23] Discussing the details of several tools available for data mining and machine learning Madyatmadja et al [24] Presenting the results of using big data to predict student learning effectiveness in educational institutions…”

Aplicación de minería de datos en datos abiertos de Ecuador: Delitos

“…Así mismo, Verma et al (2019) en sus estudios "Latest Tools for Data Mining and Machine Learning" incluyen a Orange junto con Weka, RapidMiner y KNIME dentro de su evaluación de herramientas disponibles para la minería de datos y el análisis predictivo. De igual forma lo hacen SangeethaLakshmi & Jayashree (2018), en su trabajo "Comparative Analysis of Various Tools for Data Mining and Big Data Mining", quienes evaluaron KNIME, Orange, Rapid Miner y Weka.…”

Investigating inorganic perovskite as absorber materials in perovskite solar cells: machine learning analysis and optimization

“…This speed advantage becomes particularly significant when optimizing parameters for photovoltaic (PV) systems, where ML allows for larger-scale and higher-precision grid searches. By harnessing the rapid inference capabilities of AI, researchers can efficiently identify optimal PV parameters, leading to improved energy conversion and system performance [34,35]. In the case of AgBiSCl 2 and Al 2 Cu 2 Bi 2 S 3 Cl 8 based solar cells, ML can aid in unravelling the complex relationships between material properties, device architecture, and performance metrics.…”