Sessions tagged with 'data_analysis'

Meaningful Insights From Raw Metrics: Virtual Worlds and Other Business Applications
Nicholas Yee (PARC), Nic Ducheneaut (PARC)
Virtual worlds are a goldmine of untapped insights, even for predicting physical behaviors. Not only will we share PARC findings and methods developed to extract key data from online games, but more importantly, we'll discuss how social scientists converted and processed raw behavioral metrics into meaningful psychological variables that can be applied to a broad spectrum of business applications.
Scaling Data Analysis with Apache Mahout
Isabel Drost (Apache Software Foundation/ Nokia Gate 5 GmbH)
With growing amounts of digital data at the fingertips of software developers the need for a scalable, easy to use framework is tremendous. This talk introduces Apache Mahout - a project with the goal of implementing scalable machine learning algorithms for the masses.

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