Data Mining and Machine Learning Applications
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Scope of this subject
This cluster of papers covers a wide range of applications of data mining, including the use of classification algorithms, neural networks, clustering methods, predictive modeling, artificial intelligence, backpropagation algorithm, association rule method, K-means clustering, and Naive Bayes classifier in various domains such as agriculture, education, healthcare, and business.
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Research vocabulary
C4.5 algorithm; C4.5 decision tree; RapidMiner; silhouette coefficient; Davies-Bouldin index; Naive Bayes classification; WEKA; elbow method; data mining tools; sales transaction data; data mining applications; data mining techniques; student graduation prediction; support and confidence; data mining classification; nutritional status classification; provincial clustering; wine quality prediction; poverty classification; average linkage; k-value selection; Naive Bayes algorithm; used car price prediction; C5.0 algorithm; used car pricing
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Numeric address and provenance
Morton address: 38294066937121883 · morton4x16-v1
Coordinates: (3, 17, 1710, 13373). The address interleaves categorical identifier bits. Nearby addresses are not guaranteed to describe semantically similar subjects.
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