Clustering Individual Transactional Data for Masses of Users-Reference-Cited by-同舟云学术

Clustering Individual Transactional Data for Masses of Users

Published:2017-08-04 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining
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Author:

Guidotti Riccardo¹,Monreale Anna²,Nanni Mirco³,Giannotti Fosca³,Pedreschi Dino²

Affiliation:

1. ISTI-CNR & University of Pisa, Pisa, Italy

2. University of Pisa, Pisa, Italy

3. ISTI-CNR, Pisa, Italy

Funder

H2020 Research Infrastructures

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3097983.3098034

Reference38 articles.

1. Using data mining methods to build customer profiles

2. LIMBO: Scalable Clustering of Categorical Data

3. Daniel Barbará Yi Li and Julia Couto 2002. COOLCAT: an entropy-based algorithm for categorical clustering CIKM. ACM 582--589. 10.1145/584792.584888 Daniel Barbará Yi Li and Julia Couto 2002. COOLCAT: an entropy-based algorithm for categorical clustering CIKM. ACM 582--589. 10.1145/584792.584888

4. Co-clustering Documents and Words by Minimizing the Normalized Cut Objective Function

5. A Practical Approach for Clustering Transaction Data

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