Książka Predicting Breast Cancer Survivability Using Data Mining Techniques Omead Hussain

Predicting Breast Cancer Survivability Using Data Mining Techniques

Comparing between three modeling tools which are : Artificial neural network, decision trees and logistic regression

Autor: Omead Hussain
Język: Angielski
Oprawa: Miękka
Dostępność: Dostępna u dostawcy
Wysyłamy za 5-8 dni
217.12
This book concentrates on Predicting Breast Cancer Survivability using data mining, and comparing be...

Informacje o książce

Język
Angielski
Oprawa
Książka - Miękka
Data wydania
2011
strony
136
EAN
9783846538784
ISBN
3846538787
Enbook ID
12710907
Waga
219
Wymiary
150 x 220 x 8

Pełny opis

This book concentrates on Predicting Breast Cancer Survivability using data mining, and comparing between three main predictive modeling tools. Precisely, we used three popular data mining methods, and aimed to choose the best model through the efficiency of each model and with the most effective variables to these models and the most common important predictor. We defined the three main modeling aims and uses by demonstrating the purpose of the modeling. By using data mining, we can begin to characterize and describe trends and patterns that reside in data and information. The preprocessed data set contents were of 93 variables and 90308 records for each variable, and these dataset were from the SEER database. We have achieved more than three data mining techniques and we have investigated all the data mining techniques and finally we found the best thing to do is to focus about these data mining techniques which are Artificial Neural Network, Decision Trees and Logistic Regression by using SAS Enterprise Miner 5.2. Several experiments have been conducted using these algorithms. The achieved prediction implementations are Comparison-based techniques.

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