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dc.contributor.advisorDenzinger, Jörg
dc.contributor.authorGao, Jie
dc.date.accessioned2005-08-19T20:45:53Z
dc.date.available2005-08-19T20:45:53Z
dc.date.issued2004
dc.identifier.citationGao, J. (2004). A cooperative distributed data mining model and its application to medical data on diabetes (Unpublished master's thesis). University of Calgary, Calgary, AB. doi:10.11575/PRISM/21059en_US
dc.identifier.isbn0612976440en
dc.identifier.urihttp://hdl.handle.net/1880/42429
dc.descriptionBibliography: p. 80-90en
dc.description.abstractWe present CoLe, a cooperative distributed system model for mining knowledge from heterogeneous data. CoLe allows for the cooperation of different learning algorithms and the combination of the mined knowledge into knowledge structures no individual learner can produce. CoLe organizes the work in rounds so that knowledge discovered by one learner can help others in the next round. We implemented a system based on CoLe for mining diabetes data, including a genetic algorithm for learning event sequences, improvements to the PART algo­rithm for our problem and combination methods to produce hybrid rules containing conjunctive and sequence conditions. In our experiments, the CoLe-based system outperformed the individual learners, with better rules and more rules of a certain quality. Our improvements to learners also showed they were useful. From the medical perspective, our system confirmed hypertension has a tight relation to diabetes, and it also suggested connections new to medical doctors.en
dc.format.extentix, 93 leaves : ill. ; 30 cm.en
dc.language.isoeng
dc.rightsUniversity of Calgary graduate students retain copyright ownership and moral rights for their thesis. You may use this material in any way that is permitted by the Copyright Act or through licensing that has been assigned to the document. For uses that are not allowable under copyright legislation or licensing, you are required to seek permission.
dc.titleA cooperative distributed data mining model and its application to medical data on diabetes
dc.typemaster thesis
dc.publisher.institutionUniversity of Calgaryen
dc.identifier.doihttp://dx.doi.org/10.11575/PRISM/21059
thesis.degree.nameMaster of Science
thesis.degree.nameMS
thesis.degree.nameMSc
thesis.degree.disciplineComputer Science
thesis.degree.grantorUniversity of Calgary
dc.identifier.lccAC1 .T484 2004 G36en
dc.publisher.placeCalgaryen
ucalgary.thesis.notesUARCen
ucalgary.thesis.uarcreleaseyen
ucalgary.item.requestcopytrue


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