Credit scoring is a fairly common business analytics application and decision trees are some of the most intuitive […]
There are terabytes of data that come from surveys and most of this is unstructured – the kind […]
As data science extends its domain over more and more types of businesses, it is inevitable that we […]
Sports analytics is set to become a driving force in the sports industry. Internet of things generates the […]
In part 1 of this two part series we described the overall approach used by RapidMiner for time series […]
Previously we discussed some of the advantages of support vector machines classification over other methods. We introduced some defining terms […]
The term “support vector machines” is a confusing name for a predictive analytics algorithm. The fact is this term […]
A typical problem facing many manufacturers is developing accurate price quotes for their customers. For example, many automotive […]
In the first article of this series we discussed how regular expressions, when appropriately set up can increase the power […]
R-bloggers recently posted an interesting text mining article which attempts to text mine the entire collected works of William Shakespeare. […]
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