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dc.contributor.advisorRamesh, B.
dc.contributor.advisorHaga, William J.
dc.contributor.authorBerry, Eric Dean.
dc.dateSeptember 1995
dc.date.accessioned2013-08-13T22:06:34Z
dc.date.available2013-08-13T22:06:34Z
dc.date.issued1995-09
dc.identifier.urihttp://hdl.handle.net/10945/35110
dc.description.abstractThe Department of Defense (DOD) possesses tremendous amounts of data stored in many large databases. Given the size of these databases large scale data analysis tools are required to find previously unknown and interesting patterns. Data Mining tools which produce output in the form of production rules, i.e., 'If x, Then y' are preferred because the generated rules are understandable by humans and readily support decision making processes. This thesis investigates the problems associated with the statistical testing of rule generated from data mining systems. Statistical testing of rules generated by data mining systems is required to ensure that the generated rules are based on valid statistical relationships and are not the result of random variation in the underlying data. A strategy for the testing of rules using a non-parametric test known as the randomization test is implemented for the testing of rules from a prototype data mining system.en_US
dc.description.urihttp://archive.org/details/randomizationtes1094535110
dc.format.extent79 p.en_US
dc.language.isoen_US
dc.publisherMonterey, California. Naval Postgraduate Schoolen_US
dc.rightsThis publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. As such, it is in the public domain, and under the provisions of Title 17, United States Code, Section 105, may not be copyrighted.en_US
dc.titleRandomization testing of machine induced rulesen_US
dc.typeThesisen_US
dc.contributor.departmentInformation Technology Management
dc.description.funderNAen_US
dc.description.recognitionNAen_US
dc.description.serviceU.S. Navy (U.S.N.) author.en_US
etd.thesisdegree.nameM.S. in Information Technology Managementen_US
etd.thesisdegree.levelMastersen_US
etd.thesisdegree.disciplineInformation Technology Managementen_US
etd.thesisdegree.grantorNaval Postgraduate Schoolen_US


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