A Survey of Classification Techniques in Data Mining
Texto
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