WBIN-Tree: A Single Scan Based Complete, Compact and Abstract Tree for Discovering Rare and Frequent Itemset Using Parallel Technique-Reference-Cited by-同舟云学术

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WBIN-Tree: A Single Scan Based Complete, Compact and Abstract Tree for Discovering Rare and Frequent Itemset Using Parallel Technique

Published:2024 Issue: Volume:12 Page:6281-6297
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Rai Shwetha¹^ORCID,Kumar Preetham²^ORCID,Shetty K. Nakul³^ORCID,Geetha M.¹^ORCID,Giridhar B.¹^ORCID

Affiliation:

1. Department of Computer Science and Engineering, Manipal Institute of Technology, Manipal Academy of Higher Education, Manipal, Karnataka, India

2. Department of Information and Communication Technology, Manipal Institute of Technology, Manipal Academy of Higher Education, Manipal, Karnataka, India

3. Department of Electronics and Communication Engineering, Manipal Institute of Technology, Manipal Academy of Higher Education, Manipal, Karnataka, India

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/6287639/10380310/10382523.pdf?arnumber=10382523

Reference47 articles.

1. Early Heart Disease Prediction Using Data Mining Techniques

2. Privacy-preserving association rule mining via multi-key fully homomorphic encryption

3. Algorithms for frequent itemset mining: a literature review

4. Modern Applications and Challenges for Rare Itemset Mining

5. Incremental rare pattern based approach for identifying outliers in medical data

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