Apriori Algorithm with Dynamic Parameter Selection and Pruning of Misleading Rules-Reference-Cited by-同舟云学术

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Apriori Algorithm with Dynamic Parameter Selection and Pruning of Misleading Rules

Published:2021-10-26 Issue: Volume: Page:619-627
ISSN:2367-3370
Container-title:Lecture Notes in Networks and Systems
language:
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Author:

Veer Aditya,Gurav Mohit,Dange Shreyansh,Chandgude Shubham,Wangikar Vaishali

Publisher

Springer Singapore

Link

https://link.springer.com/content/pdf/10.1007/978-981-16-4016-2_59

Reference10 articles.

1. Wu L, Gong K, He Y, Ge X, Cui J (2010) A study of improving Apriori algorithm. In: 2010 2nd international workshop on intelligent systems and applications, Wuhan, pp 1–4

2. Chai S, Yang J, Cheng Y (2007) The research of improved Apriori algorithm for mining association rules. In: 2007 international conference on service systems and service management, Chengdu, pp 1–4

3. Du J, Zhang X, Zhang H, Chen L (2016) Research and improvement of Apriori algorithm. In: 2016 sixth international conference on information science and technology (ICIST), Dalian, pp 117–121

4. Bhargav A, Mathur RP, Bhargav M (2014) Market basket analysis using artificial neural network. In: International conference for convergence for technology 2014, Pune, pp 1–6

5. Jha IN, Borah S (2012) Efficient association rule mining using improved Apriori algorithm. Int J Sci Eng Res 3(11):1 (Nov 2012) ISSN 2229-5518

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