Semantic Scholar Open Access 2017 181 sitasi

A COMPARATIVE STUDY OF CLASSIFICATION TECHNIQUES IN DATA MINING ALGORITHMS

Mrs. Nalini Jagtap Mrs. P. P. Shevatekar Mr. Nareshkumar Mustary

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Abstrak

- Huge amount of data is getting generated every second. These data is needed to be analyzed. Classification in data mining is a technique based on machine learning algorithms which uses mathematics, statistics, probability distributions and artificial intelligence. Classification predicts the group membership for data items or it represents 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

Penulis (3)

Mrs. Nalini Jagtap

Mrs. P. P. Shevatekar

Mr. Nareshkumar Mustary

Format Sitasi

APA MLA BibTeX

Jagtap, M.N., Shevatekar, M.P.P., Mustary, M.N. (2017). A COMPARATIVE STUDY OF CLASSIFICATION TECHNIQUES IN DATA MINING ALGORITHMS. https://doi.org/10.21884/ijmter.2017.4211.vxayk

Akses Cepat

Lihat di Sumber doi.org/10.21884/ijmter.2017.4211.vxayk

Informasi Jurnal

Tahun Terbit: 2017
Bahasa: en
Total Sitasi: 181×
Sumber Database: Semantic Scholar
DOI: 10.21884/ijmter.2017.4211.vxayk
Akses: Open Access ✓