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In Special Issue on Learning and Discovery in Knowledge-Based Databases, No. 5(6). (1993), pp. 914-925 Key: citeulike:2739138
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We present our perspective of database mining as the confluence of machine learning techniques and the performance emphasis of database technology. We describe three classes of database mining problems involving classification, associations, and sequences, and argue that these problems can be uniformly viewed as requiring discovery of rules embedded in massive data. We describe a model and some basic operations for the process of rule discovery. We show how the database mining problems we...
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