Data miner is a set of components for classification for Borland Delphi written in 100% VCL. The algorithms included cover: KNN and Naive Bayes plus a third completely new algorithm named Linear Classifier. The algorithms can work on real and discrete data and can be connected to a TDataSet descendant. They appropriatelly handle missing data and are all capable of incremental learning. The package includes a demo with reference results on standard domains, examples of usage and performance tests. The package also contains a 9 page document giving the user a rush introduction to all key charachteristics of classification algorithms. The classification algorithms from the Data Miner are used to tackle the same kind of problems as neural networks.

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