Market Basket Analysis

Market Basket Analysis with Association Rule Learning

The promise of Data Mining was that algorithms would crunch data and find interesting patterns that you could exploit in your business. The exemplar of this promise is market basket analysis (Wikipedia calls it affinity analysis). Given a pile of transactional records, discover interesting purchasing patterns that could be exploited in the store, such as offers […]

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Stack Exchange Clustering using Mahout by Konstantin Slisenko

Project Spotlight: Stack Exchange Clustering using Mahout with Konstantin Slisenko

This is a project spotlight with Konstantin Slisenko a programmer and machine learning enthusiast. Could you please introduce yourself? My name is Konstantin Slisenko, I’m from Belarus. I graduated from the Belarusian State University of Informatics and Radioelectronics. I am currently taking a master course. I’m a Java developer and work in JazzTeam company. I like […]

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Algorithm ranking when analyzing results in the Weka Experimenter

Make Better Predictions with Boosting, Bagging and Blending Ensembles in Weka

Weka is the perfect platform for studying machine learning. It provides a graphical user interface for exploring and experimenting with machine learning algorithms on datasets, without you having to worry about the mathematics or the programming. In a previous post we looked at how to design and run an experiment running 3 algorithms on a […]

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