Machine Learning & Artificial Intelligence · Data Mining & Feature Engineering

Data Mining: Unsupervised Learning — Association Rules

Public introduction · full guide in Eikos

Introduction

What this guide covers

Introduction Introduction Advanced Reference

Overview

Topics covered

  • Introduction
  • Data Mining Unsupervised Learning: Association Rules
  • Theoretical Foundations of Unsupervised Learning
  • Supervised vs. Unsupervised: Theoretical Dimension
  • The Problem of Market Basket Analysis
  • Rule Quality Metrics

Related concepts

Main connections

  • SQL & relational data modeling
  • Epidemiological measures & risk ratios
  • Unsupervised learning & clustering
  • Conditional probability & independence
  • Relational joins & entity integrity
  • Chi-squared tests & goodness of fit

Compatible notation

Mathematical sample in LaTeX

The expression is rendered accessibly, with its LaTeX source preserved below.

X⇒Ywhere X⊂I,Y⊂IAndX∩Y=∅
View LaTeX sourceX \Rightarrow Y \quad \text{where } X \subset I, \; Y \subset I \; \text{And} X \cap Y = \emptyset