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Improving The Efficiency Of C4.5 Algorithm For Data Mining Prediction

Name: Improving The Efficiency Of C4.5 Algorithm For Data Mining Prediction
Brand: Noor Publishing
SKU: 17640806
Price: 30.12 EUR
Availability: InStock
Author: Radhwan Hussein Alsagheer
ISBN: 9783330845794

Radhwan Hussein Alsagheer

Jezik

Angleščina

Knjiga Mehka

Koda Libristo: 17640806

Založba Noor Publishing, november 2016

A decision tree is an important classification technique in data mining classification. Decision tre... Celoten opis

Koda Libristo: 17640806

73 b

30.12 €

Na zalogi pri dobavitelju Odposlali bomo v 5-8 dneh

Do 30 dni za vračilo

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.