Work

A Data Mining Framework for Enhanced Evaluation of Transactional Data Efficiency

Year: 2025

Type: article

Abstract: Evaluating transactional datasets is crucial for organizations to optimize business processes, derive meaningful patterns, and improve decision-making. This research proposes an improved framework for assessing the efficiency of transactional datasets by utilizing advanced data mining techniques. The framework incorporates association rule mining, clustering, and classification to examine data quality, eliminate redundant attributes, and extract valuable insights. Findings suggest that this framework enhances data interpretability and significantly improves decision-making efficiency.

Source: International Research Journal on Advanced Engineering and Management (IRJAEM)

DOI: 10.47392/irjaem.2025.0101

Authors: Sonam, Dr. Jyoti

Institution: Baba Mastnath University

Language: English

Topic: Data Mining and Machine Learning Applications

Subfield: Information Systems

Field: Computer Science

Domain: Physical Sciences

Open Access status: diamond

OpenAlex ID: W4408738547

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