• Nenhum resultado encontrado

A Survey of Classification Techniques in Data Mining

N/A
N/A
Protected

Academic year: 2017

Share "A Survey of Classification Techniques in Data Mining"

Copied!
7
0
0

Texto

Loading

Referências

Documentos relacionados

TANE ALGORITHM FOR NOISY DATA DETECTION Data quality analysis results show that the errors in the training data as well as in the testing data affect the predictive accuracy of

Therefore, the main purpose of data mining consists in applying advanced data analysis techniques on large volumes of data stored in databases, data marts or data

As taxas de mortalidade padronizadas por câncer de mama foram as mais altas entre as neoplasias, na população de mulheres residentes no município de Juiz de Fora ao longo dos anos

Economista (UNESPAR) Mestre em Economia (UEM) 2.6 ANÁLISE DA SITUAÇÃO Análise Ambiental 9 Variáveis Ambientais; 9 Variáveis Culturais/Sociais; 9 Variáveis Demográficas; 9

The interviews were conducted between the months of September and Oc- tober 2011 and followed a script previously tested in a pilot study and con- ducted by a single researcher

Data mining is the process of discovering meaningful correlations, patterns and trends by sifting through large amounts of data stored in repositories. Data mining employs pattern

(2008) also used this methodology to define sampling densities of chemical attributes in an area of sugarcane cultivation. Thus, this study aimed to define an

The objective of this research was to build up a model (decision tree) using data mining techniques such as feature selection and data classification, for predicting broiler