Scalable algorithm for generation of attribute implication base using FP-growth and spark-Reference-Cited by-同舟云学术

Scalable algorithm for generation of attribute implication base using FP-growth and spark

Published:2021-05-27 Issue:14 Volume:25 Page:9219-9240
ISSN:1432-7643
Container-title:Soft Computing
language:en
Short-container-title:Soft Comput

Author:

Chunduri Raghavendra Kumar,Cherukuri Aswani Kumar^ORCID

Publisher

Springer Science and Business Media LLC

Subject

Geometry and Topology,Theoretical Computer Science,Software

Link

https://link.springer.com/content/pdf/10.1007/s00500-021-05844-9.pdf

Reference52 articles.

1. Aranda-Corral GA (2020) A model of three-way decisions for Knowledge Harnessing. Int J Approx Reason 120:184–202

2. Aswani Kumar C, Raghavendra C (2021) Book Chapter on Big Data Processing frameworks and architectures. IET Handbook on big data analytics. Accepted 2021

3. Aswani Kumar Ch (2012) Fuzzy clustering-based formal concept analysis for association rules mining. Appl Artif Intell 26(3):274–301

4. Aswani Kumar C, Srinivas S (2010) Concept lattice reduction using fuzzy K-Means clustering. Expert Syst Appl 37(3):2696–2704

5. Aswani Kumar C, Singh P, Li J (2014) Concepts reduction in formal concept analysis with fuzzy setting using Shannon entropy. Int J Mach Learn Cybern 8(1):179–189

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