"This volume offers researchers and engineers practical solutions for learning from large-scale datasets, with detailed descriptions of algorithms and experiments carried out on realistically large datasets. At the same time it offers researchers information that can address the…
Pervasive and networked computers have dramatically reduced the cost of collecting and distributing large datasets. In this context, machine learning algorithms that scale poorly could simply become irrelevant. We need learning algorithms that scale linearly with the volume of t…
Forensic computing is becoming of primary importance as computers increasingly figure as sources of evidence in all sorts of criminal investigations. However, in order for such evidence to be legally useful, it is vital that it be collected and processed according to rigorous pr…