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Computer Science

Data Mining

Association Rule Learning

Anomaly Detection Methods

Big Data Technologies

Clustering Algorithms

Classification Algorithms

Data Dimensionality Reduction Techniques

Data Mining Project Lifecycle

Data Mining Success Metrics

Data Mining Techniques

Data Mining and Customer Relationship Management (CRM)

Data Mining for Fraud Detection

Data Mining in Finance

Data Quality Issues

Data Mining in Retail

Data Mining in Healthcare

Data Mining Research Topics

Data Mining Tools and Software

Data Mining Skill Set

Data Mining Case Studies

Data Preprocessing Techniques

Data Mining Challenges

Ensuring Data Privacy in Data Mining

Ethical Aspects of Data Mining

Frequent Pattern Mining Algorithms

Machine Learning vs Data Mining

Mining Complex Data Types

Multimedia Data Mining

Predictive Analytics Fundamentals

Time Series Analysis in Data Mining

Web Mining Methods

Social Media Data Mining

Spatial Data Mining

Text Mining Techniques

Data Mining Techniques

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Classification

A technique that assigns each item in a dataset to one of a predefined set of categories or classes. Commonly used in spam filtering.

Support Vector Machines (SVM)

A supervised learning model with associated learning algorithms that analyze data for classification and regression. Works well for complex but small- or medium-sized datasets.

Decision Trees

A decision support tool that uses a tree-like graph or model of decisions and their possible consequences. Used in data mining for deriving a strategy to reach a goal.

Clustering

A method of grouping a set of objects in a way that objects in the same group (cluster) are more similar to each other than to those in other groups. Used in market segmentation.

Principal Component Analysis (PCA)

A statistical procedure that uses an orthogonal transformation to convert a set of observations of possibly correlated variables into a set of values of linearly uncorrelated variables.

Ensemble Methods

Techniques that create multiple models and then combine them to produce improved results. Used extensively in competitions like Kaggle.

Neural Networks

A set of algorithms modeled loosely after the human brain that are designed to recognize patterns. Used in image and speech recognition.

Association Rule Learning

Focuses on discovering interesting relationships between variables in large databases, like the 'market basket analysis'.

Regression

It attempts to model the relationship between two or more features by fitting a linear or non-linear equation to observed data. Used in forecasting and predicting continuous values.

Anomaly Detection

Identifies unusual patterns that do not conform to expected behavior. Commonly used in fraud detection.

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