Explora: a multipattern and multistrategy discovery assistant
Advances in knowledge discovery and data mining
Integrating Association Rule Mining with Relational Database Systems: Alternatives and Implications
Data Mining and Knowledge Discovery
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This chapter introduces the main dimensions that are important for classifying KDD systems. Criteria for comparing and evaluating systems can be arranged into the categories of input, algorithms, output, user, technology, and support. They are applied when presenting examples of data mining tools belonging to different categories such as those in Chapter 24. We outline the need to be alert for new developments and product updates, since the data mining tools market is rapidly developing and very dynamic. Some pointers to regularly updated product information sources and other reports on data mining tools that can be useful for observing the development of this market are also given.