Hi, Last year, I was so happy when I realized that Mahout was offering some task for students who wanted to participate in GSoC, but that time I haven't got enough time for apply it. So this is the time when I want to create something new for Mahout and experience how can I work together with an international community :) I know the application deadline is super close, but I believe that we can found a proper task for me!
Please, let me introduce myself shortly! I got my Computer Science bachelor degree at Budapest Technical University and Economics in Hungary. After my graduation, I continued my studies at Budapest, and I decided to deepen my knowledge in distributed systems and data mining. Meanwhile, I had a chance to study abroad, so I spend a semester at University of Bradford, UK in 2009 and a semester at University of New Hamsphire, NH, US in 2011. I studied some advanced Artificial Intelligence (especially AI in computer games) at University of Bradford, and I studied algorithm theory and algorithm design at UNH. From September 2010, I am working on Radoop ( http://blog.radoop.eu/) which will provide an user-friendly graphical interface for Hadoop. Radoop work with Hive (it uses the Hive JDBC Driver), but I have great experience in base Hadoop (HDFS and MapReduce), because we have some unique MR job to preprocess data. Moreover, we managed to integrate a part of Mahout to Radoop, so I have knowledge about the base architecture of Mahout! :) I founded a closed issue (https://issues.apache.org/jira/browse/MAHOUT-364) which propose an implementation of Neural Network. I'm really interested to make something similar (especially a classifier for Mahout and I chose NN, because I have some experience in using and implementing it). Unfortunately I don't have a unique dataset for this task, but I can use dataset from UCI Machine Learning Repository. I don't see exactly the whole situation of Mahout classifier's, so I like to ask your help to find an appropriate task which can be useful for the entire Mahout community and with this work, I can become a value member of this community! Thank you, Gabor Makrai
