Data Mining §

Group: 4 #group-4

Relations §

• Machine Learning: Data Mining techniques are used to extract patterns and insights from data, which is a key component of Machine Learning.
• Social Media: Social media companies engage in data mining practices to extract valuable insights from user data for various purposes.
• Feature Engineering: Feature engineering is a key step in the data mining process to extract meaningful patterns from data.
• Artificial Intelligence: Data Mining involves the process of extracting patterns and insights from large datasets, which is often used in AI applications.
• Pattern Recognition: Pattern recognition is a key component of data mining.
• Knowledge Discovery: Data mining is a process used for knowledge discovery from data.
• Artificial Intelligence (AI): Data Mining involves the extraction of useful patterns and insights from large datasets, which is essential for many AI applications.
• Big Data: Data Mining techniques are used to extract valuable information from large datasets, which is a key aspect of Big Data.
• Clustering: Clustering is a fundamental technique used in data mining to group similar data points together.
• Segmentation: Data segmentation is often used in data mining to identify meaningful subgroups within large datasets.