Performance Improvement in the Implementation of DBLEARN
نویسنده
چکیده
We describe efficiency improvements made to the DBLEARN program for performing knowledge discovery in databases. The original DBLEARN prototype implementation suffered from relatively poor performance. Causes of this inefficiency are explored and implementation strategies are suggested to improve performance. They include better memory management, more efficient storage of attribute values, and better searching techniques for matching attribute values with more general concepts. Finally measurements of the performance improvement are provided for one specific computer system.
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