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Analysis of collaborative meetings in developing data mining models

  • SUNY Buffalo

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Scopus citations

Abstract

Observations of group meetings were used to help our understanding of the Data Mining (DM) process, which can take a year to complete. Over a course of three months, we followed two collaborative groups and observed their weekly meetings, where they devised DM models and explored new ways to analyze and present microarray data. The study furthered the current understanding of the DM activities by revealing its socio-technical aspects, and directed a promising design approach for a more efficient and effective DM system. Field observations of collaborative meetings disclosed that a longitudinal study is, in fact, appropriate and necessary to further understand the DM process and the system.

Original languageEnglish
Title of host publicationProceedings of the Human Factors and Ergonomics Society 49th Annual Meeting, HFES 2005
Pages686-690
Number of pages5
StatePublished - 2005
Event49th Annual Meeting of the Human Factors and Ergonomics Society, HFES 2005 - Orlando, FL, United States
Duration: Sep 26 2005Sep 30 2005

Publication series

NameProceedings of the Human Factors and Ergonomics Society
ISSN (Print)1071-1813

Conference

Conference49th Annual Meeting of the Human Factors and Ergonomics Society, HFES 2005
Country/TerritoryUnited States
CityOrlando, FL
Period09/26/0509/30/05

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