Sequential pattern mining on library transaction data

Application of data mining techniques in library data results interesting and useful patterns that can be used to improve services in university libraries. This paper presents results of the work in applying the sequential pattern mining algorithm namely AprioriAll on a library transaction dataset....

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Bibliographic Details
Main Authors: Sitanggang, Imas Sukaesih, Husin, Nor Azura, Agustina, Anita, Mahmoodian, Naghmeh
Format: Conference or Workshop Item
Language:English
Published: IEEE 2010
Online Access:http://psasir.upm.edu.my/id/eprint/69676/1/Sequential%20pattern%20mining%20on%20library%20transaction%20data.pdf
http://psasir.upm.edu.my/id/eprint/69676/
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Institution: Universiti Putra Malaysia
Language: English

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