Slide 1 Classification Based in part on Chapter 10 of Hand, Manilla, & Smyth and Chapter 7 of Han and Kamber David Madigan Slide 2 Predictive Modeling Goal: learn a mapping:…
Slide 1 Association Analysis (3) Slide 2 FP-Tree/FP-Growth Algorithm Use a compressed representation of the database using an FP-tree Once an FP-tree has been constructed,…
Slide 1 Donald Knuth [F]orget about small efficiencies, say about 97% of the time Slide 2 CSC 313 – Advanced Programming Topics Slide 3 Recursion is useful, powerful…
Slide 1 1 Data Mining: Classification and Prediction Duong Tuan Anh HCMC University of Technology July 2011 Slide 2 2 Outline 1. Classification with decision trees 2. Artificial…
FPtree/FPGrowth FP-Tree/FP-Growth Algorithm Use a compressed representation of the database using an FP-tree Then use a recursive divide-and-conquer approach to mine the…
Classification We have seen 2 classification techniques: Simple linear classifier, Nearest neighbor,. Let us see two more techniques: Decision tree, Naïve Bayes There…
Decision Trees Outline What is a decision tree ? How to construct a decision tree ? What are the major steps in decision tree induction ? How to select the attribute to split…
Classification ‹#› Slide Supervised vs. Unsupervised Learning Supervised learning (classification) Supervision: The training data (observations, measurements, etc.) are…
Final Review Final Review This is not a comprehensive review but highlights certain key areas Top-Level Data Mining Tasks At highest level, data mining tasks can be divided…