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Apache Hadoop Get Together
Thursday October 7, 2010 at 5:00pm
newthinking store
Tucholskystr. 48
Berlin, Bundesland Berlin Get Directions
This is to announce the next Apache Hadoop Get Together sponsored by JTeam that will take place in newthinking store in Berlin.

When: October 7th, 5p.m.
Where: Newthinking store Berlin

As always there will be slots of 30min each for talks on your Hadoop topic. After each talk there will be a lot time to discuss. You can order drinks directly at the bar in the newthinking store. If you like, you can order pizza. We will go to Cafe Aufsturz after the event for some beer and something to eat.

Talks scheduled so far:

Max Heimel: "Hidden Markov Models for Apache Mahout"
Abstract: In this talk I will present and discuss an implementation of a powerful statistical tool called Hidden Markov Models for the Apache Mahout project. Hidden Markov models allow to mathematically deduce the structure of an underlying - and unobservable - process based on the structure of the produced data. Hidden Markov Models are thus frequently applied in pattern recognition to deduce structures that are not directly observable. Examples for applications of Hidden Markov Models include the recognition of syllables in speech recordings, handwritten letter recognition and part-of-speech tagging.

Sebastian Schelter: Distributed Itembased Collaborative Filtering with Apache Mahout"

Abstract: Recommendation Mining helps users find items they like. A very popular way to implement this is by using Collaborative Filtering. This talk will give an introduction to an approach called Itembased Collaborative Filtering and explain Mahout's Map/Reduce based implementation of it.

Please do indicate on Upcoming if you are coming so we can more safely plan capacities.

JTeam is looking for Java developers and search enthusiasts. Check out their jobs page for more info!

As always a big Thank You goes to newthinking store for providing the venue for free for our event.

Looking forward to seeing you in Berlin as well,
Isabel
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