Gaining Strategic Advantage through Bibliomining: Data Mining for Management Decisions in Corporate, Special, Digital, and Traditional Libraries

Persistent Link:
http://hdl.handle.net/10150/106383
Title:
Gaining Strategic Advantage through Bibliomining: Data Mining for Management Decisions in Corporate, Special, Digital, and Traditional Libraries
Author:
Nicholson, Scott; Stanton, Jeffrey M.
Editors:
Nemati, H.; Barko, C.
Citation:
Gaining Strategic Advantage through Bibliomining: Data Mining for Management Decisions in Corporate, Special, Digital, and Traditional Libraries 2003, :247-262 Organizational data mining: Leveraging enterprise data resources for optimal performance
Publisher:
Hershey, PA: Idea Group Publishing
Journal:
Organizational data mining: Leveraging enterprise data resources for optimal performance
Issue Date:
2003
URI:
http://hdl.handle.net/10150/106383
Submitted date:
2005-05-13
Abstract:
Library and information services in corporations, schools, universities, and communities capture information about their users, circulation history, resources in the collection, and search patterns (Koenig, 1985). Unfortunately, few libraries have taken advantage of these data as a way to improve customer service, manage acquisition budgets, or influence strategic decision-making about uses of information in their organizations. In this chapter, we present a global view of the data generated in libraries and the variety of decisions that those data can inform. We describe ways in which library and information managers can use data mining in their libraries, i.e. bibliomining, to understand patterns of behavior among library users and staff members and patterns of information resource use throughout the institution. The chapter examines data sources and possible applications of data mining techniques and explores the legal and ethical implications of data mining in libraries.
Type:
Book Chapter
Language:
en
Keywords:
Data Mining
Local subject classification:
integrated library systems; data warehouses; data sources

Full metadata record

DC FieldValue Language
dc.contributor.authorNicholson, Scotten_US
dc.contributor.authorStanton, Jeffrey M.en_US
dc.contributor.editorNemati, H.en_US
dc.contributor.editorBarko, C.en_US
dc.date.accessioned2005-05-13T00:00:01Z-
dc.date.available2010-06-18T23:45:34Z-
dc.date.issued2003en_US
dc.date.submitted2005-05-13en_US
dc.identifier.citationGaining Strategic Advantage through Bibliomining: Data Mining for Management Decisions in Corporate, Special, Digital, and Traditional Libraries 2003, :247-262 Organizational data mining: Leveraging enterprise data resources for optimal performanceen_US
dc.identifier.urihttp://hdl.handle.net/10150/106383-
dc.description.abstractLibrary and information services in corporations, schools, universities, and communities capture information about their users, circulation history, resources in the collection, and search patterns (Koenig, 1985). Unfortunately, few libraries have taken advantage of these data as a way to improve customer service, manage acquisition budgets, or influence strategic decision-making about uses of information in their organizations. In this chapter, we present a global view of the data generated in libraries and the variety of decisions that those data can inform. We describe ways in which library and information managers can use data mining in their libraries, i.e. bibliomining, to understand patterns of behavior among library users and staff members and patterns of information resource use throughout the institution. The chapter examines data sources and possible applications of data mining techniques and explores the legal and ethical implications of data mining in libraries.en_US
dc.format.mimetypeapplication/pdfen_US
dc.language.isoenen_US
dc.publisherHershey, PA: Idea Group Publishingen_US
dc.subjectData Miningen_US
dc.subject.otherintegrated library systemsen_US
dc.subject.otherdata warehousesen_US
dc.subject.otherdata sourcesen_US
dc.titleGaining Strategic Advantage through Bibliomining: Data Mining for Management Decisions in Corporate, Special, Digital, and Traditional Librariesen_US
dc.typeBook Chapteren_US
dc.identifier.journalOrganizational data mining: Leveraging enterprise data resources for optimal performanceen_US
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