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A Survey on Data Classification using Machine Learning Techniques

Author(s): Dr. Chandra.E | Rajeswari .J

Journal: International Journal of Engineering Science and Technology
ISSN 0975-5462

Volume: 3;
Issue: 10;
Start page: 7397;
Date: 2011;
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Keywords: Data Classification | Machine Learning | Self-Organizing Map (SOM) | Artificial Neural Networks (ANN) | Extreme Learning Machine (ELM)

Data classification is an essential step in trying to safeguard one of the chief properties of an organization -its information. Data classification engages categorizing information to predefined levels. For every level, organizations must allocate different levels of security controls and restrict the number of employees or persons who can access the information. Data classification would be difficult in large organizations with significant content to estimate and classify. With the assistance of a data classification approach, organizations can recognize and implement proper setting for private access control and also can obtain decision based on the obtained result from data classification. Machine learning techniques are one of the best classification approaches in the recent development. Many techniques are available under the machine learning approaches and the most important objective of machine learning research is to automatically learn to identify complex patterns and make intelligent decisions based on data. In this paper, data classification usingmany Machine Learning Techniques has been discussed. This paper focuses on better Machine Learning Techniques which supports data classification are available in the literature.
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