ARCHIVES
Basic Review on Data Mining
¹HOD and Professor, Department of MCA, smt Radhikatai pandav college of engineering Nagpur, Maharashtra, India. ² Professor, Department of MCA, smt Radhikatai pandav college of engineering Nagpur, Maharashtra, India. ³⁴Department of MCA, smt Radhikatai pandav college of engineering Nagpur, Maharashtra, India.
Published Online: May-August 2025
Pages: 210-213
Cite this article
↗ https://www.doi.org/10.59256/indjcst.20250402027
Data excavation is a process that extracts valuable and unique embellished dossiers from enormous collections of dossiers. Many data excavating habits, algorithms, and friendships were employed to acclimate dossier excavating technologies in order to improve administrative progress and establish superior more effective habits. There is overwhelming development in data group as a result of the ever-increasing employment of calculators and stereos bias, as well as the extreme rise in canny capacity and storage ability. The storage of data in a dossier depository allows for total resourcefulness in piercing and systematizing a trustworthy current table meets that require the particular finishes known as data excavation forms.
Related Articles
2025
Transforming Cyber-Physical Systems: Machine Learning for Secure and Efficient Solutions
2025
Exploring AI Techniques for Quantum Threat Detection and Prevention
2025
INSPIRO: An AI Driven Institution Auditor
2025
Adaptive AI Framework for Anomaly Detection and DDoS Mitigation in Distributed Systems
2025
Predictive Modeling for College Admission Using Machine Learning and Statistical Methods
2025
Restaurant Table Reservation with Food Ordering
2025
A IoT-Driven Smart Commerce: Redefining Consumer Experience and Operational Efficiency in E-Commerce Platforms
2025
Agricultural Products: CVF Yield Prediction Using Ensemble Methods and Machine Learning Models
2025
Identifying and Forecasting Wastewater Pollutions Wring IOT & NLP
2025
Evaluating Data Mining Algorithms
