Open AccessThe bibliomining process: Data warehousing and data mining for libraries. Sponsored by SIG LT
Author(s) -
Nicholson Scott,
Hwang SanYih,
Keezer Paula,
O'Neill Edward T.
Publication year - 2003
Publication title -
proceedings of the american society for information science and technology
Language(s) - English
Resource type - Journals
eISSN - 1550-8390
pISSN - 0044-7870
DOI - 10.1002/meet.1450400184
Subject(s) - data warehouse , metadata , computer science , identification (biology) , data science , process (computing) , data mining , information retrieval , bibliometrics , database , world wide web , botany , biology , operating system
Bibliomining is the combination of data mining, bibliometrics, statistics, and reporting tools used to extract patterns of behavior‐based artifacts and item‐based metadata from library systems. The bibliomining process involves the identification of problem areas, the collecting and anonymizing of data into a data warehouse, the exploration of the data with data mining tools, and the analysis, validation, and implementation of the results. This panel will introduce the topic of bibliomining and present ways in which data warehousing and data mining are currently being used in library settings.