On the design of hardware architectures for parallel frequent itemsets mining-Reference-Cited by-同舟云学术

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On the design of hardware architectures for parallel frequent itemsets mining

Published:2020-11 Issue: Volume:157 Page:113440
ISSN:0957-4174
Container-title:Expert Systems with Applications
language:en
Short-container-title:Expert Systems with Applications

Author:

Letras Martín^ORCID,Bustio-Martínez Lázaro^ORCID,Cumplido René,Hernández-León Raudel^ORCID,Feregrino-Uribe Claudia^ORCID

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference35 articles.

1. Data mining: The textbook;Aggarwal,2015

2. Mining association rules between sets of items in large databases;Agrawal,1993

3. Fast algorithms for mining association rules;Agrawal,1994

4. “NegFIN: An efficient algorithm for fast mining frequent itemsets”;Aryabarzan;Expert Systems with Applications,2018

5. Efficient hardware data mining with the Apriori algorithm on FPGAs;Baker,2005

Cited by 5 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. FPGA/GPU-based Acceleration for Frequent Itemsets Mining: A Comprehensive Review;ACM Computing Surveys;2022-12-31

2. Proposal of Smith-Waterman algorithm on FPGA to accelerate the forward and backtracking steps;PLOS ONE;2022-06-30

3. Research on Personalized Recommendation of Higher Education Resources Based on Multidimensional Association Rules;Wireless Communications and Mobile Computing;2022-04-18

4. Parallel Implementation of Smith-Waterman Algorithm on FPGA;2021-07-27

5. Parallelization of Frequent Itemset Mining Methods with FP-tree: An Experiment with PrePost+ Algorithm;The International Arab Journal of Information Technology;2021

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