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There is a growing need for very large databases which are not practical to implement with conventional relational database technology. These databases are characterised by huge size and frequent large updates; they do not require traditional database transactions, instead the atomic-ity of bulk updates can be guaranteed outside of the database. Given the(More)
We describe our solution for the KDD Cup 2011 track 2 challenge. Our solution relies heavily on ensembling together diverse individual models for the prediction task, and achieved a final leaderboard misclassification rate of 3.8863%. This paper provides details on both the modeling and ensemble creation steps.
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