Association Rule Based Clustering of Electronic Resources in University Digital Library

Author:

Roy DebashishORCID,Ding Chen,Jin Lei,Thomas Dana

Publisher

Springer International Publishing

Reference6 articles.

1. Collins, E., Stone, G.: Understanding patterns of library use among undergraduate students from different disciplines. Evid. Libr. Inf. Pract. 9(3), 51–67 (2014)

2. Han, E., Karypis, G., Mobasher, B.: Clustering based on association rule hypergraphs. In: Workshop on Research Issues on Data Mining and Knowledge Discovery, pp. 9–13 (1997)

3. Karypis, G., Kumar, V., Smith, R., Mason, G.: Retrieval, Analysis, and Presentation Toolkit for usage of Online Resources (RAPTOR). Cardiff University. http://iam.cf.ac.uk/trac/RAPTOR . Accessed 14 Mar 2018

4. Karypis, G., Kumar, V.: A hypergraph partitioning package. Army HPC Research Center, Department of Computer Science & Engineering, University of Minnesota (1998)

5. Manning, H., Christopher, D., Raghavan, P.: Introduction to Information Retrieval, vol. 39, pp. 109–133. Cambridge University Press, Cambridge (2008)

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