Databases

Overview

A database is an organized collection of data stored and managed within a computer system so that it can be accessed, queried, updated, and analyzed efficiently. Databases structure information, often into tables, records, and fields, allowing large volumes of data to be stored consistently and retrieved quickly, and they form the backbone of modern information systems across science, business, healthcare, and government. In the context of big data research, databases and their underlying computing infrastructure are essential for storing and processing the massive, complex, and rapidly growing datasets that characterize contemporary analytics, supporting tasks such as data mining, pattern discovery, and knowledge extraction. Research published by the journal addresses the foundations and methods of database-driven analysis. Work includes an overview of databases and computing in big data research, a comparative study of clustering objects for spatial data mining, and research on mining frequent sequential patterns, all of which examine how data are organized and analyzed at scale. Related studies illustrate domain applications, such as developing a chronic obstructive pulmonary disease severity classification system using a health-insurance claims database. This page gathers peer-reviewed, open-access research relevant to databases and their role in storing, mining, and analyzing large-scale data.

Research published in this journal

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

How this research is being cited

The 12 articles above have been cited 26 times in the scholarly literature. Citation data via OpenAlex and Crossref, updated Jun 2026.

• Integrative Computational Analysis of TP53 Exon 5–6 Mutations in Oral Cavity, Prostate, and Breast Cancers in a Senegalese Population
  2026 · Genes
• SPADE-LSTM: An Integrated Sequential Pattern Mining and Deep Learning for Badminton Next-Stroke Prediction
  2026 · International Journal of Advances in Data and Information Systems
• An Architectural Optimization Framework for Scalable Spatial Clustering in High-Redundancy Environments
  2026 · Technologies
• Computational Analysis of TP53 Mutations in Cataracts and Breast, Prostate, and Oral Cavity Cancers in Senegal
  2025 · Open Journal of Genetics
• Clustering of the Air Pollution Standard Index (ISPU) in the Province of DKI Jakarta Using the CLARANS Algorithm
  A. Azzahra et al. · 2025 · JOURNAL OF APPLIED INFORMATICS AND COMPUTING
• Analysis of Data Mining Techniques and Algorithms on Diabetes Dataset
  2025 · EAI Endorsed Transactions on Pervasive Health and Technology
• Extraction of association rules in a diabetic dataset using parallel FP-growth algorithm under apache spark
  Y. Fakir et al. · 2024 · International Journal of Informatics and Communication Technology (IJ-ICT)
• Liquid Biopsy in Head and Neck Cancer: Its Present State and Future Role in Africa
  2023 · Cells

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

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

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