Title

Bay's Networks with R

Date

5-31-2018 5:00 PM

End Time

31-5-2018 7:00 PM

Location

WUC Pacific Room

Session Chair

Scot Morse

Session Title

Computer Science Individual Capstone Projects posters

Faculty Sponsor(s)

Scot Morse

Presentation Type

Poster session

Abstract

For the benefit of analyzing two large sets of data that on there own may say little of the potential probable out comes. Analysts who would like to simulate a model of the probable out come of events given the data. The methodology of Bayesian Networks will be the focus of the modeling that will lay the foundations of demonstrating the ideas of our simulations. This model will have a focus on minimally intersecting data sets and our simulation will clearly explain the out puts of the data.

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May 31st, 5:00 PM May 31st, 7:00 PM

Bay's Networks with R

WUC Pacific Room

For the benefit of analyzing two large sets of data that on there own may say little of the potential probable out comes. Analysts who would like to simulate a model of the probable out come of events given the data. The methodology of Bayesian Networks will be the focus of the modeling that will lay the foundations of demonstrating the ideas of our simulations. This model will have a focus on minimally intersecting data sets and our simulation will clearly explain the out puts of the data.