Open Access
Issue
E3S Web Conf.
Volume 125, 2019
The 4th International Conference on Energy, Environment, Epidemiology and Information System (ICENIS 2019)
Article Number 23003
Number of page(s) 5
Section Decision Support Systems
DOI https://doi.org/10.1051/e3sconf/201912523003
Published online 28 October 2019
  1. Setiadi, Consumer behavior, Kencana (2015) [Google Scholar]
  2. D. Prajapati, S. Garg, N.C. Chauhan, Interesting association rule mining with consistent and inconsistent rule detection from big sales data in distributed environment, Future Computing and Informatics Journal 2, 19-30 (2017) [CrossRef] [Google Scholar]
  3. A. Bhandari, et al, Improvised apriori algorithm using frequent pattern tree for real time applications in data mining, Procedia Computer Science 46, 644 – 651 (2015) [Google Scholar]
  4. M. Gull, A. Pervaiz, Customer Behavior Analysis Towards Online Shopping using Data Mining, International Multi-Topic ICT Conference 5 (2018) [Google Scholar]
  5. S. Yamada, et al, Visualization of relations of stores by using Association Rule Mining, ICT and Knowledge Engineering, 11-15 (2015) [Google Scholar]
  6. Witten, et al, Data Mining. Partical Machinelearning Tools and Techniques 2nd Education, Morgan Kaufmann Publisher (2005) [Google Scholar]
  7. Kusrini, E.T. Luthfi, Algorithm Data Mining, Andi (2009) [Google Scholar]
  8. H. Hammami, et al, Classification and Projection of Spatial Association Rules, SETIT (2012) [Google Scholar]
  9. R. Sumithra, S. Paul, Using distributed apriori association rule and classical apriori mining algorithms for grid based knowledge discovery, ICCNT (2010) [Google Scholar]
  10. J. Du, et al, Research and Improvement of Apriori Algorithm, ICIST, 117-121 (2016) [Google Scholar]

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