A Fast and Scalable Frequent Itemset Mining (Fsfim) Algorithm for Big Data Based on Mapreduce Programming Paradigm-Reference-Cited by-同舟云学术

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A Fast and Scalable Frequent Itemset Mining (Fsfim) Algorithm for Big Data Based on Mapreduce Programming Paradigm

Published:2022 Issue: Volume: Page:
ISSN:1556-5068
Container-title:SSRN Electronic Journal
language:en
Short-container-title:SSRN Journal

Author:

Borra Sivaiah,R Rajeswara Rao

Publisher

Elsevier BV

Subject

General Earth and Planetary Sciences,General Environmental Science

Reference55 articles.

1. YAFIM: A Parallel Frequent Itemset Mining Algorithm with Spark;H Qiu;IEEE International Parallel & Distributed Processing Symposium Workshops,2014

2. TRICE: Mining Frequent Itemsets by Iterative TRimmed Transaction LattICE in Sparse Big Data;M Yasir;IEEE Access,2019

3. Frequent Itemset Mining in Big Data with Effective Single Scan Algorithms;Y Djenouri;IEEE Access,2018

4. Frequent Itemsets Mining for Big Data: A Comparative Analysis;D Apiletti;Big Data Research,2017

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