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Visually detect and identify most heated areas of your mining establishment(s) and loe positions of the offline machines faster. Troubleshooting Track over 800 errors and important events on your 24h logs to learn what is going on with your mining operation or run diagnostic to fix issues on the go.
· In "Data Mining: Practical Machine Learning Tools and Techniques" Witten and Frank offer users, students and researchers alike a balanced, clear introduction to concepts, techniques and tools for designing, implementing and evaluating data mining it puts emphasis on machine learning techniques, it also introduces basic statistical and information representation methods.
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· Machine learning tools that semiautomate data extraction may create efficiencies in systematic review production. We prospectively evaluated an online machine learning and text mining tool's ability to (a) automatically extract data elements from randomized trials, and (b) save time compared with manual extraction and verifiion.
Rapid Miner Server: This module is used for operating predictive data models. Rapid Miner Radoop: For simplifiion of predictive analysis, this module executes a process in Hadoop. 2. Orange. It is opensource software written in python language. Orange is the best software for analyzing data and machine .
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· 9) RapidMiner: RapidMiner is a free to use Data mining tool. It is used for data prep, machine learning, and model deployment. This free data mining software offers a range of products to build new data mining processes and predictive setup analysis. Features: Allow multiple data management methods.
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· Plenty of tools are available for data mining tasks using artificial intelligence, machine learning and other techniques to extract data. Here are six powerful open source data mining tools available: RapidMiner (formerly YALE) Written in the Java Programming language, this tool offers advanced analytics through templatebased frameworks.