Category Archives: Terms

Data Mining Algorithm List Tree

related material: 『Data Mining』-written by Ian H. Witten Basic Data Mining Algorithm ├───Basic rule extraction: 1R ├───Statistical modeling: Simple Bayesian, Gaussian/Normal distribution (Numeric) ├───Divide-and-conquer method: decision trees ├───Association rule mining ├───Linear Model │               ├Mathmatical Prediction: Linear Regression │               ├Linear Category: Logistic Regression │… Read More »

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Terms-C4.5(Pseudo Decision Tree Guidance System)

related material: 『Data Mining』-written by Ian H. Witten Category: Divide and conquer technique: Decision Tree Divide and conquer algorithms for Decision Tree So called “Top-down Pseudo Decision Tree Guidance Method Developed & improved J.Ross Quinlan(wiki)  The scheme based on the information gain is identical with the ID3 scheme basically The scheme which use the gain ratio is… Read More »

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Terms-Information gain ratio

related material: 『Data Mining』-written by Ian H. Witten Category: Divide and conquer technique: Decision Tree Information Gain Ratio : In Decision Tree structure, the creation of child node for a property is decided by the most biggest information gain. But the information gain is tend to prefer the property from which the more properties can be… Read More »

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Terms – information, bit

related material: 『Data Mining』-written by Ian H, Witten Category: Divide and conquer technique Information Caculating (Decision Tree) Rules yes or no: one of both is 0 – information value = 0 yes & no: Same number –  max information value Information follows multistage property For instance, in case of info([2,3,4]) , a data might belonged to… Read More »

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