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Mining frequent patterns in transaction databases, time-series databases, and many other kinds of databases has been studied popularly in data mining research. Most of the previous studies adopt an Apriori-like candidate...

Subjects / keywords: Fault (geology); Computer science; Data mining; Class (philosophy); Hyperplane; Cluster (spacecraft); Line (geometry); Artificial intelligence; Mathematics; Geology; Seismology; Combinatorics

Subjects / keywords: Data mining; Computer science; Electronic books

This is the first comprehensive introduction to Support Vector Machines (SVMs), a generation learning system based on recent advances in statistical learning theory. SVMs deliver state-of-the-art performance in real-worl...

The primary goal of pattern recognition is supervised or unsupervised classification. Among the various frameworks in which pattern recognition has been traditionally formulated, the statistical approach has been most in...

Boosting is one of the most important recent developments in classification methodology. Boosting works by sequentially applying a classification algorithm to reweighted versions of the training data and then taking a we...