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

RapidMiner OrangePaper – Code-Free Analytics on Hadoop

The past few years have shown us that Hadoop is a disruptive technology. It lays the foundation for deriving added business value from Big Data. However, many companies struggle with implementing analytics on Hadoop. The specialized architecture makes it highly complex, requiring unique coding skills to cope with the burden of complication. With analytics now […]
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In RapidMiner OrangePaper Posted

RapidMiner OrangePaper – Big Data Security on Hadoop

As an increasing number of enterprises move towards production deployments of Hadoop, security continues to be an important topic and an integral implementation initiative – often coinciding with initial deployments of analytics platforms that run on Hadoop. As such, modern analytics platforms must comply with security standards early on. In this OrangePaper, we show how […]
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In RapidMiner Blog Posted

RapidMiner Makes Self-Service Advanced Analytics Available for Hadoop

Greetings, RapidMiners! We’re excited to announce significant updates to the RapidMiner Modern Analytics Platform, the most comprehensive advanced analytics offering on the market today. In a world where data lakes are often used solely as a repository for information, underutilized due to the state of the market and limits of technology, our aggressive advances turn […]
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In RapidMiner Blog Posted

5 Minutes With Ingo: Understanding K-Nearest-Neighbors Algorithms

RapidMiners, THIS is your 5 Minutes with Ingo: This week, Ingo Mierswa, RapidMiner’s CEO, Co-Founder & Data Scientist in Residence, explains how the K-nearest-neighbors algorithm is used to formulate ideas by comparing points in a data-space and using the most similar data points as guidelines for predictions. Plus, Ingo asks Data Scientist Number 7 to […]
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In RapidMiner Blog Posted

Introducing RapidMiner Academia for Students, Professors and Researchers

Dear Students, Professors and Researchers around the world: At RapidMiner, we believe that analytics is for anyone, especially those of you in academia. In fact, our story started in academia in 2001 in the Artificial Intelligence Unit at the Technical University of Dortmund where Ralf Klinkenberg, Simon Fischer and I began collaborating on a predictive […]
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