RapidMiner and R

mierswa@rapid-i.com — Tue, 18 Jun 2013 00:00:00 +0100

RapidMiner brings the power of predictive analytics to the business user, with no programming required.

However, analysts sometimes want to add custom code to their analytical processes. This brief presentation reviews how to add custom R scripts to the enterprise-ready environment of RapidMiner, using an R extension.

RapidMiner and R are both widely used. Our R integration offers the best of both worlds in enterprise environ [...]

RapidMiner Voted Most Used Analytics Software in KDNuggets Poll

mierswa@rapid-i.com — Thu, 06 Jun 2013 00:00:00 +0100

Rapid-I and its users today are celebrating the top ranking of RapidMiner in KDNuggets’ 14th annual poll of Predictive Analytics, Big Data, Data Mining and Data Science Software software use. Our community has spoken and we are thrilled to be recognized as the top solution. Even more exciting is that so many users rely solely on Rapid-I solutions to get the job done (30.9 percent solely use our free solutions, while 52.4 percent solely use the commercial versions).

Radoop Team wins hack/reduce hackathon in Boston

gt@rapid-i.com — Tue, 27 Nov 2012 00:00:00 +0100

hack/reduce brands itself as Boston's Big Data hacking space. Backed by a who's who of Boston tech powerhouses, ranging from Harvard and MIT to Google and Microsoft, to the State of Massachusetts and top-tier VCs, hack/reduce is located in the historic Kendall Boiler and Tank building that gives the name to the vibrant Kendall Square technology district, brimming with startup excitement.

True to its mission of "helping Boston crea [...]

Books on Data Mining

helf@rapid-i.com — Mon, 01 Oct 2012 00:00:00 +0100

The Rapid-I team keeps on mining and we excavated two great books for our users. The first one, Data Mining for the Masses by Matthew North, is a very practical book for beginners and intermediate data miners, whereas The Elements of Statistical Learning by Trevor Hastie, Robert Tibshirani and Jerome Friedman provides a deep insight into the mathematical models driving the heart of every data analysis. It is not really hot off the press, but has not lost its glamour since the release of t [...]

Solving Sudokus with RapidMiner

fischer@rapid-i.com — Wed, 05 Sep 2012 00:00:00 +0100

This year's RCOMM live data mining challenge, "Who wants to be a data miner?", was a tricky yet fun task for the competitors. The task was to (partially) solve a Sudoku puzzle with RapidMiner. The solution shows that you can achieve virtually any data analysis task you can think of only by using standard RapidMiner processes.

The input data set consisted of examples [...]

Last chance to register for third RapidMiner conference RCOMM 2012

mierswa@rapid-i.com — Thu, 09 Aug 2012 00:00:00 +0100

The third RapidMiner Community Meeting and Conference (RCOMM 2012) is quickly approaching and we are very excited about a great program full of talks, success stories, and demonstrations. The RCOMM 2012 will be held in at the Budapest University of Technology and Economics (BME), Budapest, Hungary on August 28 thru 31, 2012.

Normal registration rate ends on August 13th so we recommend to register now to make use of the granted discounts!

File Objects and POSTing to Web Services

fischer@rapid-i.com — Mon, 21 Nov 2011 00:00:00 +0100

As of RapidMiner 5.1.11, we have introduced a new kind of I/O-Object in RapidMiner: File Objects. File Objects are generated by opening local files, URLs, looping over directories or ZIP files, etc. They are then parsed by Read CSV or Read Excel and converted to an example set. All this was possible before, partly by using macros, but it is now much simpler and more flexible.

Foremost, however, it offers a new way of sending input data to a process exposed as a Web service in RapidA [...]

Who Wants to be a Data Miner? (RCOMM 2011)

fischer@rapid-i.com — Wed, 02 Nov 2011 00:00:00 +0100

One of the most fun events at the annual RapidMiner Community Meeting and Conference (RCOMM) is the live data mining process design competition "Who Wants to be a Data Miner?" In this competition, participants must design RapidMiner processes for a given goal within a few minutes. The tasks are related to data mining and data analysis, but are rather uncommon. In fact, most of the challenges ask for things RapidMiner was never supposed to do.

In 2010, we had posted the [...]

The RapidMiner Plotters 16: Bars

mierswa@rapid-i.com — Thu, 22 Sep 2011 00:00:00 +0100

Overview "Bars"

Summary: Perform simple aggregations on your data (like sums, min or max) and show those values with respect to defined groups
Number of Dimensions: 2, one for the grouping and one for the (aggregated) valuesData Types: Numerical, Nominal

This is the next post of a series describing all RapidMiner plotters in detail. A list of the plotters discussed so far can be found at the end of this ar [...]

Video Series about ETL with RapidMiner

mierswa@rapid-i.com — Thu, 15 Sep 2011 00:00:00 +0100

He did it again! Neil McGuigan of Vancouver Data Blog has posted series of videos earlier, the first one about text mining and the second one about web scraping and web mining with RapidMiner.

Neil's new video series will again help a lot of RapidMiner users including beginners as well as more experienced analysts since it covers one of the most important aspects of data analysis: loading and transforming the data into a format which is most suitable for analysis. It is widely kn [...]

The RapidMiner Plotters 15: Pie, Pie 3D, and Ring

mierswa@rapid-i.com — Thu, 08 Sep 2011 00:00:00 +0100

Overview "Pie", "Pie 3D", and "Ring"

This is the next post of a series describing all RapidMiner plotters in detail. A list of the plotters discussed so far [...]

Interview on DecisionStats

mierswa@rapid-i.com — Thu, 11 Aug 2011 00:00:00 +0100

It was quite calm in the Rapid-I blog during the last weeks, sorry for that... It's vacation time and those of us who have to stay are quite busy these days.

In the meantime, you might be interested in an interview given by Simon and myself to Ajay Ohri of DecisionStats . We are talking about the new Rapid-I marketplace and new extensions , big data analytics, hadoop, and mobile computing for business analytics.

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