Data mining in design and test processes: basic principles and promises

Authors:
Li-C. Wang
Affiliations:
University of California at Santa Barbara, Santa Barbara, CA, USA
Venue:
Proceedings of the 2013 ACM international symposium on International symposium on physical design
Year:
2013

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Abstract

This talk discusses several application examples to illustrate the basic principles of applying data mining in design and test. Two types of data mining are seen in most of the applications: novelty detection and feature-based rule learning. The experience of developing a practical data mining flow is summarized. Promises are demonstrated with positive experimental results based on industrial settings.