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Predictive Analytics, Data Mining, and RapidMiner.
In RapidMiner Blog Posted

Summarizing the Differences between Business Intelligence and Advanced Analytics

Analytics is an immense field with many subfields, so it can be difficult to sort out all the buzzwords around it. Our Advanced Analytics Whitepaper was created to help share and explore the differences between BI and Advanced Analytics. We know that analytics refers to the skills, technologies, applications and practices for continuous iterative exploration […]
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In RapidMiner Blog Posted

Predictive analytics using image analysis can de-commoditize business

This is a guest post from Bala Deshpande of Simafore. Dr. Deshpande’s has 19 years of experience in using analytical techniques. His first exposure to predictive models and analytics was in the field of biomechanics – in identifying correlations and building multiple regression models to predict muscle forces based on electrical activity in muscles. He […]
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In RapidMiner Blog Posted

Combining power of R and RapidMiner for time series forecasting

Handling time series analysis in a tool like RapidMiner requires advanced skills. Basically, one has to become very conversant with the Windowing operator and other "Series" extension tools, about 80+ different ones. While basic time series forecasting tools, such as exponential smoothing are available as built-in operators, handling advanced techniques like ARIMA, requires some extensive workarounds.
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