Titlebook: Data Security and Security Data; 27th British Nationa Lachlan M. MacKinnon Conference proceedings 2012 Springer-Verlag GmbH Berlin Heidelbe

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Efficient Model Selection for Large-Scale Nearest-Neighbor Data Miningcal methods to reduce the number of examples examined while still finding a likely best ., greatly improving performance for large data sets. Finally, we present both analytical and experimental results that demonstrate these benefits.

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Lachlan M. MacKinnonUp to date results.Fast-track conference proceedings.State of the art research

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Uncertainty in Sequential Pattern MiningWe study uncertainty models in .. We discuss some kinds of uncertainties that could exist in data, and show how these uncertainties can be modelled using probabilistic databases. We then obtain . for them and show how frequent sequences could be mined using the . measure.

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Issues of Flash-Aware Buffer Management for Database Systemse distinguished characteristics of those storage devices. We discuss the basic principles of flash-aware algorithms and issues related to transaction management. An efficient flash-aware algorithm, CFDC, is presented and compared to several previous proposals.

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