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Optimized Gain Rules for Numeric Data by Patricio Manuel is a document available to read on EtoBox.
What is Optimized Gain Rules for Numeric Data about?
This document discusses optimized association rules for numeric attributes. The authors generalize previous work by allowing rules to contain disjunctions over uninstantiated numeric attributes, enabling the discovery of multiple optimal regions rather than just one. For rules with a single numeric attribute, they present a linear-time algorithm for computing optimized gain rules. They also propose a bucketing technique to reduce input size without sacrificing optimality. For two numeric attributes, they gi
- Author
- Patricio Manuel
- Language
- EN