Classification in data mining is a technique based on machine learning algorithms which uses mathematics, statistics, probability distributions and artificial intelligence... To predict group membership for data items or to represent descriptive analysis of data items for effective decision making .Now a day’s data mining is touching every aspect of individual life includes Data Mining for Financial Data Analysis, Data Mining for the Telecommunications Industry Data Analysis, Data Mining for the Retail Industry Data Analysis, Data Mining in Healthcare and Biomedical Research Data Analysis, and Data Mining in Science and Engineering Data Analysis, etc. The goal of this survey is to provide a comprehensive review of different classification techniques in data mining based on decision tree, rule based Algorithms, neural networks, support vector machines, Bayesian networks, and Genetic Algorithms and Fuzzy logic.
[1]
Lakhmi C. Jain,et al.
Introduction to Bayesian Networks
,
2008
.
[2]
Finn Verner Jensen,et al.
Introduction to Bayesian Networks
,
2008,
Innovations in Bayesian Networks.
[3]
Sotiris B. Kotsiantis,et al.
Machine learning: a review of classification and combining techniques
,
2006,
Artificial Intelligence Review.
[4]
Peter E. Hart,et al.
Nearest neighbor pattern classification
,
1967,
IEEE Trans. Inf. Theory.
[5]
Raj Kumar,et al.
Classification Algorithms for Data Mining: a Survey
,
2022
.