The Bibliomining Process: Data Warehousing and Data Mining for Library Decision-Making

Persistent Link:
http://hdl.handle.net/10150/106392
Title:
The Bibliomining Process: Data Warehousing and Data Mining for Library Decision-Making
Author:
Nicholson, Scott
Citation:
The Bibliomining Process: Data Warehousing and Data Mining for Library Decision-Making 2003, 22(4):4-9 Information Technology and Libraries
Journal:
Information Technology and Libraries
Issue Date:
2003
URI:
http://hdl.handle.net/10150/106392
Submitted date:
2005-02-14
Abstract:
The goal of this brief article is to explain the bibliomining process. Emphasis is placed on data warehousing and patron privacy issues because they are required before anything else can begin. It is essential to capture our data-based institutional records while still protecting the privacy of users. By using a data warehouse, both goals can be met. Once the data warehouse is in place, the library can use reporting and exploration tools to gain a more thorough knowledge of their user communities and resource utilization.
Type:
Journal Article (Paginated)
Language:
en
Keywords:
Libraries; Data Mining
Local subject classification:
Library user communities; Evaluation techniques; Data-based artifacts

Full metadata record

DC FieldValue Language
dc.contributor.authorNicholson, Scotten_US
dc.date.accessioned2005-02-14T00:00:01Z-
dc.date.available2010-06-18T23:45:41Z-
dc.date.issued2003en_US
dc.date.submitted2005-02-14en_US
dc.identifier.citationThe Bibliomining Process: Data Warehousing and Data Mining for Library Decision-Making 2003, 22(4):4-9 Information Technology and Librariesen_US
dc.identifier.urihttp://hdl.handle.net/10150/106392-
dc.description.abstractThe goal of this brief article is to explain the bibliomining process. Emphasis is placed on data warehousing and patron privacy issues because they are required before anything else can begin. It is essential to capture our data-based institutional records while still protecting the privacy of users. By using a data warehouse, both goals can be met. Once the data warehouse is in place, the library can use reporting and exploration tools to gain a more thorough knowledge of their user communities and resource utilization.en_US
dc.format.mimetypeapplication/pdfen_US
dc.language.isoenen_US
dc.subjectLibrariesen_US
dc.subjectData Miningen_US
dc.subject.otherLibrary user communitiesen_US
dc.subject.otherEvaluation techniquesen_US
dc.subject.otherData-based artifactsen_US
dc.titleThe Bibliomining Process: Data Warehousing and Data Mining for Library Decision-Makingen_US
dc.typeJournal Article (Paginated)en_US
dc.identifier.journalInformation Technology and Librariesen_US
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