4.6 Article

PartEclat: an improved Eclat-based frequent itemset mining algorithm on spark clusters using partition technique

Related references

Note: Only part of the references are listed.
Article Computer Science, Hardware & Architecture

A Spark-based Apriori algorithm with reduced shuffle overhead

Shashi Raj et al.

Summary: This paper introduces a Spark-based Apriori algorithm called SARSO, which improves efficiency by reducing shuffle overhead caused by RDD operations. The method restricts the movement of key-value pairs across cluster nodes, reducing necessary communication and synchronization overhead incurred by the Spark shuffle operation.

JOURNAL OF SUPERCOMPUTING (2021)

Article Computer Science, Hardware & Architecture

SWEclat: a frequent itemset mining algorithm over streaming data using Spark Streaming

Wen Xiao et al.

JOURNAL OF SUPERCOMPUTING (2020)

Article Computer Science, Artificial Intelligence

EAFIM: efficient apriori-based frequent itemset mining algorithm on Spark for big transactional data

Shashi Raj et al.

KNOWLEDGE AND INFORMATION SYSTEMS (2020)

Article Computer Science, Information Systems

Fast Eclat Algorithms Based on Minwise Hashing for Large Scale Transactions

Chunkai Zhang et al.

IEEE INTERNET OF THINGS JOURNAL (2019)

Article Automation & Control Systems

Apriori Versions Based on MapReduce for Mining Frequent Patterns on Big Data

Jose Maria Luna et al.

IEEE TRANSACTIONS ON CYBERNETICS (2018)

Article Computer Science, Information Systems

BIGMiner: a fast and scalable distributed frequent pattern miner for big data

Kang-Wook Chon et al.

CLUSTER COMPUTING-THE JOURNAL OF NETWORKS SOFTWARE TOOLS AND APPLICATIONS (2018)

Article Computer Science, Theory & Methods

Adaptive-Miner: an efficient distributed association rule mining algorithm on Spark

Sanjay Rathee et al.

JOURNAL OF BIG DATA (2018)

Article Computer Science, Hardware & Architecture

HFIM: a Spark-based hybrid frequent itemset mining algorithm for big data processing

Krishan Kumar Sethi et al.

JOURNAL OF SUPERCOMPUTING (2017)

Article Automation & Control Systems

FiDoop: Parallel Mining of Frequent Itemsets Using MapReduce

Yaling Xun et al.

IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS (2016)

Article Computer Science, Information Systems

A distributed frequent itemset mining algorithm using Spark for Big Data analytics

Feng Zhang et al.

CLUSTER COMPUTING-THE JOURNAL OF NETWORKS SOFTWARE TOOLS AND APPLICATIONS (2015)

Proceedings Paper Computer Science, Hardware & Architecture

Improvement and research of FP-growth algorithm based on distributed spark

Deng Lingling et al.

2015 INTERNATIONAL CONFERENCE ON CLOUD COMPUTING AND BIG DATA (CCBD) (2015)

Proceedings Paper Computer Science, Theory & Methods

R-Apriori: An Efficient Apriori based Algorithm on Spark

Sanjay Rathee et al.

PIKM'15: PROCEEDINGS OF THE 8TH PH.D. WORKSHOP IN INFORMATION AND KNOWLEDGE MANAGEMENT (2015)

Article Computer Science, Hardware & Architecture

MapReduce: A Flexible Data Processing Tool

Jeffrey Dean et al.

COMMUNICATIONS OF THE ACM (2010)

Article Computer Science, Artificial Intelligence

Fast algorithms for frequent itemset mining using FP-trees

G Grahne et al.

IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING (2005)

Article Computer Science, Theory & Methods

A tree projection algorithm for generation of frequent item sets

RC Agarwal et al.

JOURNAL OF PARALLEL AND DISTRIBUTED COMPUTING (2001)

Article Computer Science, Artificial Intelligence

Scalable algorithms for association mining

MJ Zaki

IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING (2000)