The bibliomining process: data warehousing and data mining for library decision-making
Keywords:
bibliomining, data warehousing, datamining, decision-making, library administrationAbstract
In order to get a better understanding of library user communities and to improve resource utilization, the author proposes an integrated operational application of data warehousing and datamining, combining statistical and pattern recognition tools, both integrated under a new concept named bibliomining. With the
application of this model to transactional records of the library, patron privacy is fully respected through the creation of an anonymized version of the operational data, before reformatting them for bibliomining analysis. The bibliomining
process itself consists mainly of collecting, cleaning and anonymizing the data, in order to discover underlying behavior patterns. The results can be combined with several variables, before being used to improve decision-making by the
library administration.
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