Tag: feature selection

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Exploring the High Potential Factors that Affects Students’ Academic Performance: A Recent Study Approach

Because of the increasing growth of the student population, educational facilities at all levels have been expanded. Teachers are now tasked with a multiplicity of duties. Teachers are responsible for guiding pupils in choosing a career path based on their strengths and aptitudes. Data Mining is the method of extracting educational data from enormous amounts…
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March 19, 2022 0

Cluster Based MapReduce Technique for Predicting Heart Disease -: A Modelling Approach

The process of classifying data components using class labels is known as classification. It is the technique of guided learning. It’s also the process of identifying the model that explains and differentiates data types and their values. MapReduce is a programming paradigm that allows you to execute distributed computation on a computer cluster. The user…
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January 13, 2022 0

Anomaly Detection of Outlier Features from Spatio-temporal Databases of Landsat-8 Sensor, using Cloud Computing Platform

There has recently been a surge in the number of research articles published in peer-reviewed journals about machine learning and specialized algorithms for feature identification, feature selection, and feature extraction studies. This article distinguishes proof-of-concept applications from domains such as computer vision, remote sensing, image processing, and geospatial database technology. Using satellite imagery from the…
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July 10, 2021 0

Semi-Automated Text Categorization Using Demonstration and Integration Based Term Set

Manual Analysis of massive amounts of textual data necessitates a tremendous amount of processing time and effort in interpreting the text and organizing it in the required format. Because of the high dimensionality of feature space, the main issue in the current scenario is text or document categorization. There are numerous methods available today for…
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July 9, 2021 0

Hybridized Swarm Optimization Classifiers with Ensemble Feature Ranking Techniques: Recent Study

Intrusion Detection System (IDS) is a security support mechanism which has become an essential component of security infrastructure to detect attacks, identify and track the intruders. Intrusion Detection Systems are implemented in order to detect malicious activities and it functions behind the firewall, observing for patterns in network traffic that might indicate malicious action. The…
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July 13, 2020 0