Data Mining & Warehousing

Data Mining Basics

Fundamental concepts and processes

Data Warehousing

Data warehouse architecture

OLAP

Online Analytical Processing

Data Preprocessing

Cleaning and transformation

Association Rules

Market basket analysis

Classification

Decision trees and algorithms

Clustering

Grouping similar data

Regression

Predictive modeling

Neural Networks

Deep learning in data mining

Text Mining

Natural language processing

Web Mining

Web content and usage mining

Pattern Recognition

Identifying patterns in data

Feature Selection

Dimensionality reduction

Data Visualization

Visual representation of data

ETL Process

Extract, Transform, Load

Data Quality

Data accuracy and consistency

Big Data

Handling large datasets

Data Security

Privacy and protection

Performance Tuning

Optimizing data mining

Emerging Trends

Future of data mining