One Class Svm
Data Mining Techniques for Business Insights
Analyzing Consumer Behavior
Predictive Insights from Data Mining
Data Mining Techniques for Competitive Intelligence
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Comparing Performance Across Business Units
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Data Mining Techniques for Business Insights 
Key Data Mining Techniques Technique Description Applications
Classification The process of assigning items in a dataset to target categories or classes
...Common algorithms used for classification include: Decision Trees Support Vector Machines (
SVM) Neural Networks Businesses utilize classification techniques for various applications, including fraud detection in financial transactions, customer segmentation for targeted marketing, and
...Regression Analysis Regression analysis is a statistical method used to model the relationship between a dependent variable and
one or more independent variables
...
Analyzing Consumer Behavior In-depth Interviews:
One-on-one interviews that allow for deep exploration of consumer attitudes
...Social
Class: Economic status influencing purchasing power
...
Predictive Insights from Data Mining statistical techniques, including: Regression Analysis: A method to model the relationship between a dependent variable and
one or more independent variables
...Classification: The process of predicting the category or class of new observations based on past data
...
Data Mining Techniques for Competitive Intelligence Classification Classification is a supervised learning technique that involves categorizing data into predefined classes
...Common Algorithms: Decision Trees, Random Forest, Support Vector Machines (
SVM)
...Common Algorithms: Isolation Forest,
One-Class SVM, Local Outlier Factor
...
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Comparing Performance Across Business Units Benchmarking: Comparing performance metrics against industry standards or best-in-
class competitors to identify areas for improvement
...
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Unsupervised Learning Techniques include: Isolation Forest
One-
Class SVM Statistical Tests Applications in Business Unsupervised learning has numerous applications in the business sector
...
Data Mining Techniques in Information Technology Regression Regression analysis is used to predict a continuous outcome variable based on
one or more predictor variables
...Below is a list of some of the most widely used data mining techniques:
Classification Clustering Regression Association Rule Learning Anomaly Detection Text Mining Time Series Analysis 1
...
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