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....
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 |
Similar Items
-
Spatial data mining application in forest fire assessment in tropical peat areas
by: Nuruddin, Ahmad Ainuddin, et al.
Published: (2014) -
Extended spatial decision tree algorithm for classifying hotspot occurrence
by: Sitanggang, Imas Sukaesih
Published: (2013) -
Frequent sequential pattern mining for e-commerce applications
by: Li, Xueheng.
Published: (2008) -
A hybrid recommender system based on customer behavior and
transaction data using generalized sequential pattern algorithm
by: Somya, Ramos, et al.
Published: (2022) -
Sequential pattern mining using personalized minimum support threshold with minimum items
by: Alias, Suraya, et al.
Published: (2011)