Improving The Efficiency Of C4.5 Algorithm For Data Mining Prediction - Radhwan Hussein Alsagheer
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Saadetis 12-18 tööpäeva jooksul
30-päevane tagastamisõigus
A decision tree is an important classification technique in data mining classification. Decision trees have proved to be valuable tools for the classification, description, and generalization of data. Work on building decision trees for datasets exists in multiple disciplines such as signal processing, pattern recognition, decision theory, statistics, machine learning and artificial neural networks. This th ... Täielik kirjeldus
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Kirjeldus
A decision tree is an important classification technique in data mining classification. Decision trees have proved to be valuable tools for the classification, description, and generalization of data. Work on building decision trees for datasets exists in multiple disciplines such as signal processing, pattern recognition, decision theory, statistics, machine learning and artificial neural networks. This thesis deals with the problem of finding the parameter settings of decision tree algorithm in order to build accurate, small trees, and to reduce execution time for a given domain.
Lisateave
| Autor | Radhwan Hussein Alsagheer |
|---|---|
| Kirjastaja | Noor Publishing |
| Väljalaskeaasta | 2017 |
| Kaanetüüp | Pehme kaanega |
| EAN | 9783330845794 |