Data Mining (UFRT)

Taught by

• Giacometti Arnaud
• Soulet Arnaud
• Li Dominique

Data Mining

Data Mining Process

Data Understanding

• Univariate Analysis - to analyze how variable values behave in isolation
• Bivariate Analysis - to analyze how two variables interact
• Exploratory Data Analysis - to analyze data mostly using Plots

Data Preparation

• Data Cleaning
• Data Transformation
• Data Reduction

Data Modeling

• Decision Tree (Data Mining)
  • Cost-Complexity Pruning
  • Information Gain

Evaluation

• Evaluation of Binary Classifiers
• Cost Matrix
• Evaluation of Ranking Models: Rank Correlation
• True Error of Model
• Comparing Learning Algorithms
• ROC Analysis
• Cumulative Gain Chart

Types of Data Mining

Rule Mining

Local Pattern Discovery

• Frequent Pattern Mining
  • Apriori and Eclat algorithms for that
• Association Rule Mining
• Constraint-Based Pattern Mining

Sequence Mining:

• Sequential Pattern Mining

Others

• Graph Mining and Social Network Mining
• Cluster Analysis

Past Exams

• IT4BI 2013 KDDM Exam