Explains how libraries can use data mining techniques for more effective data collection. Highlights include three phases: data selection and acquisition; data preparation and processing, including a discussion of the use of XML (extensible markup language); and data interpretation and integration, including database management systems. (LRW)

Describes a computer program designed to manage statistics about online searches which reports the number of searches by vendor, purpose, and librarian; calculates charges to departments and individuals; and prints monthly invoices to users with standing accounts. (CLB)

Argues that a mix of quantitative and qualitative measures is most efficacious in library collection analysis. Cases drawn from the literature in which a combination of these measures was profitably applied are considered, and the types of software packages for purposes of data manipulation are discussed. (Contains 15 references.) (KRN)