Data mining, visualizing, and analyzing faculty thematic relationships for research support and collection analysis

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dc.contributor.authorGao, Wenli
dc.contributor.authorWallace, Loretta
dc.date.accessioned2019-07-30T19:26:14Z
dc.date.available2019-07-30T19:26:14Z
dc.date.issued2017
dc.description.abstractThis project developed analytical tools to improve collection development and enhance research support. Analyzing faculty publications across campus involves developing similarity analysis, topic generating algorithms, and visualization techniques. Using these tools, librarians can monitor research trends for collection development, and also enable customized research support for targeted faculty members. Besides, faculty can use the interactive Tableau visualization to find potential collaborators among their peers and boost collaboration at the university.en_US
dc.description.departmentLibrariesen_US
dc.identifier.orcid0000-0001-8474-7248en_US
dc.identifier.urihttps://hdl.handle.net/10657/4343
dc.language.isoen_USen_US
dc.titleData mining, visualizing, and analyzing faculty thematic relationships for research support and collection analysisen_US
dc.typePresentationen_US

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