Classification Metrics
Trends Analysis Techniques
Insights Overview
Advanced Data Mining
Data Governance Strategies for the Finance Sector
Data Mining in Energy Sector
Predictive Models in Data Mining
Data Mining in Public Health
Text Analytics for Predictive Modeling 
Model Evaluation: Assessing model performance using
metrics such as accuracy, precision, recall, and F1-score
...Text
Classification: The process of assigning predefined categories to text based on its content
...
Building Predictive Models using Machine Learning regression,
classification)
...Model Evaluation: Assess the model's performance using
metrics such as accuracy, precision, recall, and F1 score
...
Trends Analysis Techniques Logistic Regression Used for binary
classification problems
...Key
Metrics in Cohort Analysis Retention Rate: Measures how many users continue to engage with a product over time
...
Insights Overview Performance Improvement: Insights allow businesses to assess their performance
metrics and make necessary adjustments to improve efficiency and effectiveness
...Data Mining Techniques: Methods such as clustering,
classification, and association rule mining that uncover hidden patterns in data
...
Advanced Data Mining Evaluation: The process of assessing the effectiveness of the data mining model using
metrics such as accuracy, precision, and recall
...Techniques Used Finance Fraud Detection
Classification, Anomaly Detection Healthcare Predictive Analytics for Patient Care Regression Analysis, Machine Learning
...
Data Governance Strategies for the Finance Sector Establish data quality
metrics and KPIs to measure performance
...Artificial Intelligence: Implement AI-driven solutions for data
classification, anomaly detection, and predictive analytics
...
Data Mining in Energy Sector Technique Description Application
Classification Categorizing data into predefined classes based on attributes
...Sustainability Analytics: Data mining will increasingly focus on sustainability
metrics to support the transition to renewable energy sources
...
Predictive Models in Data Mining Linear Regression, Logistic Regression
Classification Models Used to classify data into discrete categories
...Model Evaluation: Assessing the model's performance using
metrics such as accuracy, precision, and recall
...
Data Mining in Public Health Wearable Devices Devices that track health
metrics such as heart rate, physical activity, and sleep patterns
...Techniques Used in Data Mining Several data mining techniques are commonly employed in public health, including:
Classification: Assigning items in a dataset to target categories or classes
...
Using Machine Learning in Healthcare Classification Algorithms Classifies patients into risk categories based on their health data
...Wearable devices and mobile applications equipped with machine learning algorithms can monitor patient vitals and health
metrics in real-time
...
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