Скачать или смотреть Lecture 02: Market Basket Analysis - Example | Data Mining & Data Warehouse

In this lecture, we’ll dive into Market Basket Analysis – a powerful data mining technique used to uncover hidden patterns in customer purchasing behavior. 🛍️ We’ll walk through the entire data mining process step-by-step, using a real-world example to make it easy to understand.

🔹 What You’ll Learn:

Data Collection: Gathering transaction data from a supermarket.

Data Cleaning: Removing errors and inconsistencies.

Data Integration: Combining data from multiple sources.

Data Selection: Focusing on relevant data for analysis.

Data Transformation: Preparing data for mining (e.g., grouping items into transactions).

Data Mining: Applying association rule mining to find patterns (e.g., "Customers who buy chips often buy soda").

Pattern Evaluation: Identifying meaningful and actionable patterns.

Knowledge Presentation: Visualizing results for easy understanding.

Actionable Insights: Using the findings to improve sales and customer experience.

🔹 Why Watch This Lecture?

Learn how data mining works in a real-world scenario.

Understand how to turn raw data into actionable business insights.

Perfect for students, data enthusiasts, and professionals in retail, marketing, or analytics.

👉 Watch now and discover how data mining can transform decision-making!

🔗 Hashtags:
#MarketBasketAnalysis #DataMining #DataScience #DataAnalytics #BigData #RetailAnalytics #CustomerInsights #DataCleaning #DataTransformation #AssociationRules #DataVisualization #ActionableInsights #LearnData #TechEducation #DataDriven #YouTubeLearning