<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Measurement;accuracy;noise;data engineering;complexity theory;smote;imbalanced learning;data complexity;imbalanced data;oversampling;classification | Muhammad Syafiq Mohd Pozi</title><link>https://spozi.github.io/tag/measurementaccuracynoisedata-engineeringcomplexity-theorysmoteimbalanced-learningdata-complexityimbalanced-dataoversamplingclassification/</link><atom:link href="https://spozi.github.io/tag/measurementaccuracynoisedata-engineeringcomplexity-theorysmoteimbalanced-learningdata-complexityimbalanced-dataoversamplingclassification/index.xml" rel="self" type="application/rss+xml"/><description>Measurement;accuracy;noise;data engineering;complexity theory;smote;imbalanced learning;data complexity;imbalanced data;oversampling;classification</description><generator>Wowchemy (https://wowchemy.com)</generator><language>en-us</language><copyright>© 2026 Syafiq</copyright><lastBuildDate>Mon, 01 Jan 2024 00:00:00 +0000</lastBuildDate><image><url>https://spozi.github.io/media/icon_hu0b7a4cb9992c9ac0e91bd28ffd38dd00_9727_512x512_fill_lanczos_center_3.png</url><title>Measurement;accuracy;noise;data engineering;complexity theory;smote;imbalanced learning;data complexity;imbalanced data;oversampling;classification</title><link>https://spozi.github.io/tag/measurementaccuracynoisedata-engineeringcomplexity-theorysmoteimbalanced-learningdata-complexityimbalanced-dataoversamplingclassification/</link></image><item><title>An Investigation of SMOTE Based Methods for Imbalanced Datasets with Data Complexity Analysis (Extended Abstract)</title><link>https://spozi.github.io/publication/azhar-2024-smote-icde/</link><pubDate>Mon, 01 Jan 2024 00:00:00 +0000</pubDate><guid>https://spozi.github.io/publication/azhar-2024-smote-icde/</guid><description/></item></channel></rss>