Hybrid mining financial time series

dc.contributor.advisorAlhajj, Reda
dc.contributor.authorGao, Shang
dc.date.accessioned2017-12-18T21:54:18Z
dc.date.available2017-12-18T21:54:18Z
dc.date.issued2009
dc.descriptionBibliography: p. 68-73en
dc.format.extentix, 73 leaves : ill. ; 30 cm.en
dc.identifier.citationGao, S. (2009). Hybrid mining financial time series (Master's thesis, University of Calgary, Calgary, Canada). Retrieved from https://prism.ucalgary.ca. doi:10.11575/PRISM/2816en_US
dc.identifier.doihttp://dx.doi.org/10.11575/PRISM/2816
dc.identifier.urihttp://hdl.handle.net/1880/103817
dc.language.isoeng
dc.publisher.institutionUniversity of Calgaryen
dc.publisher.placeCalgaryen
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.titleHybrid mining financial time series
dc.typemaster thesis
thesis.degree.disciplineComputer Science
thesis.degree.grantorUniversity of Calgary
thesis.degree.nameMaster of Science (MSc)
ucalgary.thesis.accessionTheses Collection 58.002:Box 1861 520502031
ucalgary.thesis.notesUARCen
ucalgary.thesis.uarcreleaseyen
Files
Original bundle
Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
ucalgary_2009_gao_shang_567010.pdf
Size:
6.66 MB
Format:
Adobe Portable Document Format
Description:
Thesis
Collections