Data classification means categorization of data into different category according to rules.
The aim of this proposed research is to extract a kind of “structure” from a sample of objects …

An Classification is one the most useful and important techniques. Classification techniques
are useful to handle large amount of data. Classification is used to predict categorical class …

The paper aims to analyze how the performance evaluation of different classification models
from data mining process. Classification is the most widely used data mining technique of …

Data Mining is the process of discovering hidden or unknown patterns in huge datasets that
are potentially useful and ultimately understandable. The goal of data mining is to extract …

Data mining concept is growing fast in popularity, it is a technology that involving methods at
the intersection of (Artificial intelligent, Machine learning, Statistics and database system) …

Classification in data mining is a technique based on machine learning algorithms which
uses mathematics, statistics, probability distributions and artificial intelligence... To predict …

Data mining is the process of obtaining information, which is used to identify and define the
relationships between data of different qualities. One of the important problems encountered …

Classification of data objects based on a predefined knowledge of the objects is a data
mining and knowledge management technique used in grouping similar data objects …

Classification is used to find out in which group each data instance is related within a given
dataset. It is used for classifying data into different classes according to some constrains …

Data classification is a form of data analysis that can be used to extract models describing
important data classes. There are many classification algorithms but decision tree is the …