N Jothi, W Husain - Procedia computer science, 2015 - Elsevier
The knowledge discovery in database (KDD) is alarmed with development of methods and techniques for making use of data. One of the most important step of the KDD is the data …
K Aulakh, RK Roul, M Kaushal - International journal of educational …, 2023 - Elsevier
E-learning is fast becoming an integral part of the teaching-learning process, particularly after the outbreak of Covid-19 pandemic. Educational institutions across the globe are …
A Uthiramoorthy, A Bhardwaj, J Singh… - 2023 International …, 2023 - ieeexplore.ieee.org
Over the last 10 years, data mining has become more important, and the field of healthcare research has seen a significant uptick in activity. Most of the applications that were …
This study presents a two‐level decision‐making (TLDM) model for a distribution company (Disco) in the day‐ahead market (DAM), where Disco has two additional resources …
E Shirzad, G Ataei, H Saadatfar - Engineering & Applied Science …, 2021 - thaiscience.info
Data mining is the modern way of discovering knowledge among databases that leads to statistical analysis, pattern recognition, and information prediction. Today, one of the most …
C Kuruba, N Pushpalatha, G Ramu, I Suneetha… - Applied …, 2023 - Springer
The healthcare industry is rapidly changing all across the world. The healthcare industry generates a large volume of diverse data. It is critical for the healthcare industry to effectively …
DC Bindushree - Int. J. Enginnering Res, 2016 - academia.edu
In the recent trends of technology implementation, the knowledge discovery in database (KDD) is alarmed with development of methods and techniques for making use of data. This …
In this chapter we present a case study that illustrates how educational data mining (EDM) is able to support the implementation of government policies and assist the labor of public …
Z Ullah - … doctoral dissertation). National University of Modern …, 2022 - researchgate.net
The contemporary digital era faces the challenge of extracting knowledge patterns from big diversified data which are difficult to read with the traditional “close reading” method …