DAGger: clustering correlated uncertain data (to predict asset failure in energy networks)

Authors:
Dan Olteanu;Sebastiaan J. van Schaik
Affiliations:
University of Oxford, Oxford, United Kingdom;University of Oxford, Oxford, United Kingdom
Venue:
Proceedings of the 18th ACM SIGKDD international conference on Knowledge discovery and data mining
Year:
2012

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Abstract

DAGger is a clustering algorithm for uncertain data. In contrast to prior work, DAGger can work on arbitrarily correlated data and can compute both exact and approximate clusterings with error guarantees. We demonstrate DAGger using a real-world scenario in which partial discharge data from UK Power Networks is clustered to predict asset failure in the energy network.