Data Mining Techniques and Applications

This research sub-field focuses on various methods and algorithms used for data mining, including clustering, classification, association rule mining, and pattern detection. It addresses practical applications of these techniques in processing large datasets and extracting meaningful insights from data in numerous domains such as business, healthcare, and social sciences.

data mining
clustering
classification
association rules
algorithms
dimensionality reduction
pattern mining
outlier detection

75,700 papers

Parent topic: Communication and Signal Processing

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