Abstract This paper presents an integrated rule-based data mining system that is capable of creating rule- based classifiers with,web-based user interface ...
This paper presents an integrated rule-based data mining system that is capable of creating rule- based classifiers with web-based user interface.
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C. C. Chan and Z. Su, “From Data to Knowledge An Integrated Rule ...
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C. C. Chan and Z. Su, “From Data to Knowledge: An Integrated Rule-Based Data Mining System,” Proceedings of the 17th International Conference of Software ...
Bibliography of Software Language Engineering in Generated Hypertext (BibSLEIGH) is created and maintained by Dr. Vadim Zaytsev. Hosted as a part of SLEBOK on ...
The effective use of background as well as previously created knowledge in reasoning about new data makes it possible for the knowledge mining system to derive ...
Such a method was implemented in AQ learning, as an additional option to rule truncation. (Michalski and Kaufman, 2001). The method uses a rule quality ...
Most data-mining methods are based on tried and tested techniques from machine learning, pattern recognition, and statistics: classification, clustering, ...
This article is to provide a comprehensive survey on the data mining and knowledge discovery techniques developed recently, and introduce some real application ...
IJKEDM publishes theoretical and practical research development on knowledge engineering and data mining.
Jun 8, 2024 · Data mining is the process of discovering patterns, correlations, and anomalies within large data sets to predict outcomes.