Research Topic · Peer-Reviewed

Data Mining Tools

Data mining tools use advanced algorithms and techniques to search large data sets to discover patterns and trends. They are used to uncover hidden knowledge, improve business processes, better understand customers, and make informed decisions. By helping to identify correlations, discover anomalies, and provide pre…

Curated from this journal's research 📚 2 peer-reviewed articles cited Cited 7× across the literature 🔖 ISSN 2768-0207 🗓 Reviewed July 2026

Overview

Data mining tools use advanced algorithms and techniques to search large data sets to discover patterns and trends. They are used to uncover hidden knowledge, improve business processes, better understand customers, and make informed decisions. By helping to identify correlations, discover anomalies, and provide predictive analytics, data mining tools can help businesses uncover patterns and trends, optimize their operations and marketing, and increase profits.

Research published in this journal

2 peer-reviewed articles, ranked by relevance. Each links to its DOI.

2021

Mining Frequent Sequential Patterns

FAKIR YoussefCorresponding author
Laboratory of Information Processing and Decision Support, University Sulan Moulay Slimane
Exact topic Big Data Research Cited by 1 doi:10.14302/issn.2768-0207.jbr-21-3455

How this research is being cited

The 2 articles above have been cited 7 times in the scholarly literature. Citation data via OpenAlex and Crossref, updated Jun 2026.

A sample of recent works citing this journal's research on Data Mining Tools, linking to each citing work.

Editorial oversight

Curated from peer-reviewed research published in Big Data Research (ISSN 2768-0207).

Journal editorial board
Professor Shangming Zhou · United Kingdom Professor Hong Lin · United States Dr. Rami H. Al-Rifai · United Arab Emirates

This page summarises published research for orientation; it is not medical or professional advice.