Exact computation for aggregate queries usually requires large amounts of memory ? constrained in data-streaming ? or communication ? constrained in distributed computation ? and ...
Schema matching identifies elements of two given schemas that correspond to each other. Although there are many algorithms for schema matching, little has been written about build...
Philip A. Bernstein, Sergey Melnik, Michalis Petro...
Selection tasks are common in modern computer interfaces: we are often required to select a set of files, emails, data entries, and the like. File and data browsers have sorting a...
In this paper, we propose a semi-supervised learning approach for classifying program (bot) generated web search traffic from that of genuine human users. The work is motivated by...
Hongwen Kang, Kuansan Wang, David Soukal, Fritz Be...
The Local Outlier Factor (LOF) is a very powerful anomaly detection method available in machine learning and classification. The algorithm defines the notion of local outlier in...