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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Main Authors: | , , , |
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Format: | Conference or Workshop Item |
Language: | English |
Published: |
IEEE
2010
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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 |