Access Paths for Data Mining Query Optimizer

Marek Wojciechowski, Maciej Zakrzewicz · 2002

Data mining research has developed many pattern discovery algorithms dedicated to specific data and pattern characteristics. We argue that a user should not be responsible for choosing the most efficient algorithm to solve a particular data mining problem. Instead, a data mining query optimizer should follow the cost-based optimization techniques to select an appropriate algorithm to solve the user's problem. In this paper we discuss the process of data mining query optimization and we extend the list of choices the optimizer can make. 1.

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