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Non-parametric decision trees and online HCI

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dc.contributor.authorSchou (Sko), Torben
dc.contributor.authorGardner, Henry James
dc.contributor.authorMartin, Michael
dc.coverage.spatialParis France
dc.date.accessioned2015-12-10T23:20:36Z
dc.date.createdApril 27-May 2 2013
dc.date.issued2013
dc.date.updated2016-02-24T10:58:10Z
dc.description.abstractThis paper proposes that online HCI studies (such as websurveys and remotely monitored usability tests) can benefit from statistical data analysis using modern statistical learning methods such as classification and regression trees (CARTs). Applying CART
dc.identifier.isbn9781450318990
dc.identifier.urihttp://hdl.handle.net/1885/66399
dc.publisherAssociation for Computing Machinery (ACM)
dc.relation.ispartofseriesSIGCHI Conference on Human Factors in Computing Systems, CHI '13
dc.sourceNon-parametric Decision Trees for Online HC
dc.subjectKeywords: Games; Non-parametric; Online studies; Parametric; Regression; Classification (of information); Forestry; Human computer interaction; Human engineering; Decision trees; Classification; Decision Making; Forestry; Information Retrieval; Regression Analysis Classification; Decision trees; Games; Non-parametric; Online studies; Parametric; Regression
dc.titleNon-parametric decision trees and online HCI
dc.typeConference paper
local.bibliographicCitation.lastpage2106
local.bibliographicCitation.startpage2103
local.contributor.affiliationSchou (Sko), Torben , College of Engineering and Computer Science, ANU
local.contributor.affiliationGardner, Henry James, College of Engineering and Computer Science, ANU
local.contributor.affiliationMartin, Michael, College of Business and Economics, ANU
local.contributor.authoruidSchou (Sko), Torben , u4111314
local.contributor.authoruidGardner, Henry James, u8914398
local.contributor.authoruidMartin, Michael, u8517524
local.description.embargo2037-12-31
local.description.notesImported from ARIES
local.description.refereedYes
local.identifier.absfor080600 - INFORMATION SYSTEMS
local.identifier.absseo970108 - Expanding Knowledge in the Information and Computing Sciences
local.identifier.ariespublicationu4334215xPUB1276
local.identifier.doi10.1145/2470654.2481288
local.identifier.scopusID2-s2.0-84877942775
local.type.statusPublished Version

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