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.
Clustering objects for spatial data mining: a comparative study
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.
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2026 · International Journal of Advances in Data and Information Systems
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2026 · Technologies
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A. Azzahra et al. · 2025 · JOURNAL OF APPLIED INFORMATICS AND COMPUTING
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2025 · EAI Endorsed Transactions on Pervasive Health and Technology
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Y. Fakir et al. · 2024 · International Journal of Informatics and Communication Technology (IJ-ICT)
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2023 ·
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D. Neguja et al. · 2023 · International Conference on Innovative Mechanisms for Industry Applications
A sample of recent works citing this journal's research on Data Mining Tools, linking to each citing work.