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

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

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 user...

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Main Author: Nicholson, Scott
Language:en
Published: 2003
Subjects:
Libraries
Data Mining
Online Access:http://hdl.handle.net/10150/106392
id ndltd-arizona.edu-oai-arizona.openrepository.com-10150-106392
record_format oai_dc
spelling ndltd-arizona.edu-oai-arizona.openrepository.com-10150-1063922015-10-23T04:24:27Z The Bibliomining Process: Data Warehousing and Data Mining for Library Decision-Making Nicholson, Scott Libraries Data Mining 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. 2003 Journal Article (Paginated) The Bibliomining Process: Data Warehousing and Data Mining for Library Decision-Making 2003, 22(4):4-9 Information Technology and Libraries http://hdl.handle.net/10150/106392 Information Technology and Libraries en
collection NDLTD
language en
sources NDLTD
topic Libraries
Data Mining
spellingShingle Libraries
Data Mining
Nicholson, Scott
The Bibliomining Process: Data Warehousing and Data Mining for Library Decision-Making
description 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.
author Nicholson, Scott
author_facet Nicholson, Scott
author_sort Nicholson, Scott
title The Bibliomining Process: Data Warehousing and Data Mining for Library Decision-Making
title_short The Bibliomining Process: Data Warehousing and Data Mining for Library Decision-Making
title_full The Bibliomining Process: Data Warehousing and Data Mining for Library Decision-Making
title_fullStr The Bibliomining Process: Data Warehousing and Data Mining for Library Decision-Making
title_full_unstemmed The Bibliomining Process: Data Warehousing and Data Mining for Library Decision-Making
title_sort bibliomining process: data warehousing and data mining for library decision-making
publishDate 2003
url http://hdl.handle.net/10150/106392
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