Contatto
Come acquistare
Consegna
Guida all'acquisto
Predicting Breast Cancer Survivability Using Data Mining Techniques
Comparing between three modeling tools which are : Artificial neural network, decision trees and logistic regression
Inglese
135 b
Fino a 30 giorni per il reso
I clienti hanno acquistato anche
/
In brossura
35.99
€
/
In brossura
60.99
€
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.
Informazioni sul libro
Inglese
Categorie
Regala questo libro oggi stesso
È facile
1 Aggiungi il libro al carrello e scegli la consegna come regalo 2 Ti invieremo subito il buono 3 Il libro arriverà all'indirizzo del destinatarioPotrebbe interessarti anche
/
In brossura
14.99
€
/
In brossura
18.89
€
