K-means Clustering
Analyzing Data Patterns for Predictive Analytics
Scenarios
Leveraging Predictive Models
Data Patterns
Data Mining in Public Health
Data Mining in Small Businesses
Predictive Analytics
Data Mining for Understanding Consumer Trends 
methods include: Technique Description
Clustering Groups similar data points together to identify patterns
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Business Intelligence Techniques It employs various techniques such as
clustering, classification, regression, and association rule learning
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Analyzing Data Patterns for Predictive Analytics Clustering Techniques Grouping a set of objects in such a way that objects in the same group are more similar
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Scenarios The applications include: Customer Segmentation: Using
clustering algorithms to identify different customer groups and tailor marketing strategies
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Leveraging Predictive Models Common types of predictive models include: Regression Analysis Classification Models Time Series Analysis
Clustering Techniques Neural Networks 2
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Data Patterns Data Mining: Extracting useful information from large data sets through methods such as
clustering, classification, and association rule mining
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Data Mining in Public Health Clustering: Grouping a set of objects in such a way that objects in the same group are more similar to each other than to those in other groups
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Data Mining in Small Businesses Clustering Grouping a set of objects in such a way that objects in the same group are more similar to each other than to those in other groups
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Predictive Analytics (K)
Clustering: Groups similar data points together to identify patterns
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Provisions Clustering: Groups similar data points together, enabling organizations to identify patterns and trends
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