Stein, Daniel J. III. Utilizing Data and Knowledge Mining For Probabilistic Knowledge Bases MS Thesis AFIT/GCS/ENG/96D-25. Graduate School of Engineering, Air Force Institute of Technology, Wright-Patterson AFB, OH, December, 1996. Home/Search Document Not in Database Summary Related Articles Check |
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An Incompleteness Handling Methodology for Validation of Bayesian .. - Bawcom (1997) (4 citations) (Correct)
....within this methodology framework. Specific test case examples and results are explored in Chapter V. Chapter VI discusses conclusions drawn from this research, while recommendations for further research are offered in Chapter VII. 2 Information about the data mining utility can be found in Stein [37]. 1 3 II. Problem Background The difficulties in the development of knowledge based systems, particularly with knowledge representation and knowledge acquisition, often leads to errors in several forms. One of these types of errors is incompleteness. This research stems from a need to handle ....
Stein III, Daniel J. Utilizing Data and Knowledge Mining for Probabilistic Knowledge Bases. MS thesis, AFIT/GCS/ENG/96D-25. Graduate school of engineering, Air Force Institute of Technology, Wright-Patterson AFB, OH, December 1996.
Extensible Multi-Agent System for Heterogeneous Database.. - Marks (1999) Self-citation (School Air) (Correct)
....Research by Capt. Daniel Stein has shown how data mining association rules could be used to repair knowledge base incompleteness. This work was in support of the Probabilities, Experts System, Knowledge, and Inference (PESKI) System, an integrated framework for expert system development [STEIN96]. This system utilizes a knowledge representation known as a Bayesian Knowledge Base (BKB) to provide flexibility and an ease of understanding that is lacking in many representation schemes [STEIN96] Stein has shown how a goal directed data mining approach can automate the process of ....
.... Knowledge, and Inference (PESKI) System, an integrated framework for expert system development [STEIN96] This system utilizes a knowledge representation known as a Bayesian Knowledge Base (BKB) to provide flexibility and an ease of understanding that is lacking in many representation schemes [STEIN96]. Stein has shown how a goal directed data mining approach can automate the process of automatically solving incompleteness in a BKB with the implementation of DBMiner. Association rules can be used to discover one or more relationships that are missing from a BKB without human intervention. To ....
Stein, Daniel J. III. Utilizing Data and Knowledge Mining For Probabilistic Knowledge Bases MS Thesis AFIT/GCS/ENG/96D-25. Graduate School of Engineering, Air Force Institute of Technology, Wright-Patterson AFB, OH, December, 1996.
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