TAILIEUCHUNG - Chapter 5: Decision trees

Chapter 5: Decision trees Introduction to decision tree; Decision tree for pattern recognition; Construction of decision trees; Splitting at the nodes; Overfitting and pruning; Example of decision tree induction. | Chapter 5 Decision trees Assoc. Prof. Dr. Duong Tuan Anh Faculty of Computer Science and Engineering, HCMC Univ. of Technology 3/2015 Outline Introduction to decision tree Decision tree for pattern recognition Construction of decision trees Splitting at the nodes Overfitting and pruning Example of decision tree induction 1. Introduction A decision tree is a tree where each non-leaf node is associated with a decision and the leaf nodes are associated with an outcome or class label. Each internal node test one or more attribute values leading to two or more branches. Each branch in turn is associated with a possible value of the decision. These branches are mutually distinct and collective exhaustive. Decision trees are excellent tools for choosing between several courses of action. They provide a highly effective structure with which you can lay out options and investigate the possible outcome of choosing these options. In the case of binary decision tree, there are two outgoing .

• Cơ sở dữ liệu
• Decision trees
• Introduction to decision tree
• Decision tree for pattern recognition
• Construction of decision trees
• Splitting at the nodes
• Overfitting and pruning
• Fingerprint classification
• Scale invariant feature transform
• Bag of visual words
• Random forest of oblique decision trees
• Oblique decision trees
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• Binary search trees
• Prim’s algorithm
• Kruskal’s algorithm
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• Medical Data
• Using Decision Trees
• Construct a Practical Parser
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• model language
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• Decision trees and attributional rules in incremental learning
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• Information sciences
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• Interpretable models
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• Fuzzy set
• Decision making
• Public sector
• Data Mining
• Alternative Techniques
• training data
• Simple models
• Logistic regression
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• Quality improvement
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• Decision support systems
• Data warehouse
• Regression trees
• Quality business decision making
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• cách trình bày báo cáo
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