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Showing 5 of 5 academic articles

Data Mining Techniques in Medical Informatics

U. Rajendra Acharya, Wenwei Yu • The Open Medical Informatics Journal (2010)

The advent of high-performance computing has benefited various disciplines in finding practical solutions to their problems, and our health care is no exception to this.Signal processing, image processing, and data mining tools have been de...

OPENALEX cc-by-nc DOI: https://doi.org/10.2174/1874431101004010021 PMC: 2916206

Data Mining Techniques for Predictive Maintenance in Manufacturing Industries a Comprehensive Review

Chinthamu Narender, Ashish, P Mathiyalagan, B Devananda Rao et al. • ITM Web of Conferences (2025)

Predictive maintenance (PdM) is one of the major methods used in modern manufacturing to realize downtime minimization, lower the cost of maintenance and maximize machine service life by analyzing the collected data using data mining method...

DOAJ Open Access (DOAJ) DOI: 10.1051/itmconf/20257605012

Machine Learning and Data Mining Methods in Diabetes Research

Ioannis Kavakiotis, O. Tsave, Athanasios Salifoglou, Nicos Maglaveras et al. • Computational and Structural Biotechnology Journal (2017)

The remarkable advances in biotechnology and health sciences have led to a significant production of data, such as high throughput genetic data and clinical information, generated from large Electronic Health Records (EHRs). To this end, ap...

OPENALEX cc-by DOI: https://doi.org/10.1016/j.csbj.2016.12.005 PMC: 5257026

DATA MINING AND MACHINE LEARNING IN ASTRONOMY

Nicholas M. Ball, Robert J. Brunner • International Journal of Modern Physics D (2010)

We review the current state of data mining and machine learning in astronomy. Data Mining can have a somewhat mixed connotation from the point of view of a researcher in this field. If used correctly, it can be a powerful approach, holding ...

OPENALEX Open Access DOI: https://doi.org/10.1142/s0218271810017160

Machine Learning in Earthquake Seismology

S. Mostafa Mousavi, Gregory C. Beroza • Annual Review of Earth and Planetary Sciences (2022)

Machine learning (ML) is a collection of methods used to develop understanding and predictive capability by learning relationships embedded in data. ML methods are becoming the dominant approaches for many tasks in seismology. ML and data m...

OPENALEX cc-by DOI: https://doi.org/10.1146/annurev-earth-071822-100323