Spark based Parallel Frequent Pattern Rules for Social Media Data Analytics-Reference-Cited by-同舟云学术

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Spark based Parallel Frequent Pattern Rules for Social Media Data Analytics

Published:2023-05 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE/ACM 23rd International Symposium on Cluster, Cloud and Internet Computing Workshops (CCGridW)
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Author:

Chaturvedi Shubhangi¹,Saritha Sri Khetwat²,Chaturvedi Animesh³

Affiliation:

1. PDPM Indian Institute of Information Technology, Design and Manufacturing, Jabalpur (IIITDM Jabalpur),Computer Science and Engineering,Jabalpur,M.P.,India

2. Maulana Azad National Institute of Technology (NIT Bhopal),Computer Science and Engineering,Bhopal,M.P.,India

3. Indian Institute of Information Technology Dharwad (IIIT Dharwad),Data Science and Intelligent Systems,Dharwad,Karnataka,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10181139/10181105/10181165.pdf?arnumber=10181165

Reference39 articles.

1. Data Mining in Social Media

2. Parallel Frequent Pattern Mining on Natural Language-Based Social Media Data

3. A Survey of Interestingness Measures for Association Rules

4. SparkFlow: Towards High-Performance Data Analytics for Spark-based Genome Analysis

5. The power of social media analytics

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