[PDF][PDF] Null-values imputation using different modification random forest algorithm

MM Mijwil, AW Abdulqader, MA Sura… - … International Journal of …, 2023 - researchgate.net
Today, the world lives in the era of information and data. Therefore, it has become vital to
collect and keep them in a database to perform a set of processes and obtain essential …

Enhancing healthcare data integrity: fraud detection using unsupervised learning techniques

M Bairy, B Muniyal, NP Shetty - International Journal of Computers …, 2024 - Taylor & Francis
Data in healthcare forms the backbone of any treatment and decision-making for patients.
However, the data from a healthcare institution can sometimes be prone to abnormalities …

A new unsupervised outlier detection method

L Zheng, L Chen, Y Wang - Journal of Intelligent & Fuzzy …, 2024 - content.iospress.com
Abstract Information amount has been shown to be one of the most efficient methods for
measuring uncertainty. However, there has been little research on outlier detection using …

Pre-processing of datasets with best feature selection and outlier removal techniques for a fair and robust model of software defect prediction

S Singh, MTU Haider - 2022 - researchsquare.com
In software engineering, the most demanding task is to predict soft-ware defects. Usually, for
predicting defects machine learning techniques are required. As we know in machine …

[PDF][PDF] REGRESSION TECHNIQUES BASED ON WHETHER FORECASTING PREDICTION

G Nithin, MS Trilochan, G Sangamesh, MV Reddy… - 2024 - researchgate.net
Weather forecasting is the most important thing for observing the atmosphere observations
by location and time. Regression techniques are a mainstay of information and have been …

[PDF][PDF] IDENTIFICATION OF BRAIN TUMOR POSITION BY PREDICTIVE DATA ANALYTICS FOR HEALTH CARE IN AI

GR Chandra, KV Rao, GVV Nagaraju, A Rani… - ijesat.com
In medical image mining broadly used machine learning algorithms for effective
classification and clustering. Due to the medical image mining to develop public health and …