A scalable and flexible basket analysis system for big transaction data in Spark-Reference-Cited by-同舟云学术

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A scalable and flexible basket analysis system for big transaction data in Spark

Published:2024-03 Issue:2 Volume:61 Page:103577
ISSN:0306-4573
Container-title:Information Processing & Management
language:en
Short-container-title:Information Processing & Management

Author:

Sun Xudong^ORCID,Ngueilbaye Alladoumbaye^ORCID,Luo Kaijing,Cai Yongda^ORCID,Wu Dingming,Huang Joshua Zhexue

Publisher

Elsevier BV

Subject

Library and Information Sciences,Management Science and Operations Research,Computer Science Applications,Media Technology,Information Systems

Reference76 articles.

1. Implementation of an improved algorithm for frequent itemset mining using Hadoop;Agarwal,2016

2. Review of parallel apriori algorithm on MapReduce framework for performance enhancement;Agarwal,2018

3. Frequent pattern mining algorithms: A survey;Aggarwal,2014

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

5. Fast algorithms for mining association rules in large databases;Agrawal,1994

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3. Business Management in the Information Age: Use of Systems, Data Processing and Scalability for Organizational Efficiency;ICST Transactions on Scalable Information Systems;2024-03-21

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