Assumes
Idealo
Data Mining Techniques for Risk Mitigation
Data Mining Techniques Comparison
Data Mining Methods for Decision Making
Security
Data Mining Techniques for Anomaly Detection
Accounting
Marketing 
Today, marketing is an entrepreneurial concept that
assumes that all activities for the best possible fulfillment of corporate goals have to be market-oriented
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Key Assumptions 
of predictive models: Assumption Description Resource Availability
Assumes that necessary resources (time, technology, personnel) are available for model implementation
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Idealo 
Idealo
assumes no liability that the products or services presented on the websites can actually be purchased from the relevant online shops under the conditions stated
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Data Mining Techniques for Risk Mitigation 
Advantages Disadvantages Easy to interpret results
Assumes linear relationships Provides insights into variable significance Can be sensitive to outliers 4
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Data Mining Techniques Comparison 
Supervised Sales forecasting, financial analysis Predictive modeling, continuous outcomes
Assumes linearity, sensitive to outliers Clustering Unsupervised Market segmentation, social network analysis
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Data Mining Methods for Decision Making 
Advantages Disadvantages Simple to understand and interpret
Assumes a linear relationship Good for prediction Can be affected by outliers 3
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Security 
Zero Trust Security: Adopting a security model that
assumes no user or device is trustworthy by default
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Data Mining Techniques for Anomaly Detection 
Fraud detection, quality control Simple to implement, interpretable results
Assumes normality, sensitive to assumptions Machine Learning Employs algorithms that learn from data to identify anomalies
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Accounting (K) 
Going Concern
Assumes that a business will continue to operate indefinitely unless there is evidence to the contrary
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Data Mining Methods in Business 
Advantages Provides insights into relationships between variables Can handle multiple predictors Challenges
Assumes a linear relationship Multicollinearity can affect results Association Rule Learning Association rule learning is a method used to discover interesting relationships
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