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Data Mining Techniques – A Study


Affiliations
1 Department of Computer Science, Valluvar College of Science & Management, Karur-639003, India
2 Department of Computer Science, Erode Arts & Science College, Erode - 638009, India
     

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Data mining is the technique of hidden, valid, and potentially useful patterns in huge data sets. Data Mining is all about discovering the previously unknown relationships amongst the data. It is a multi-disciplinary method that uses Machine Learning, Statistics, AI and Database Technologies. Data mining is also called as Knowledge Discovery, Knowledge Extraction, Data analysis, Information harvesting, etc. Data mining can able to handle the various types of data like Relational databases, Data warehouses, Object-Oriented and Object-Relational databases, Transactional and Spatial databases, Text mining and Web mining. This paper describes and discusses the various techniques associated with Data Mining Process.


Keywords

Organization, Data Mining, Artificial Intelligence, Machine Learning, Supervised Machine Learning, Expert Systems
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Abstract Views: 264

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  • Data Mining Techniques – A Study

Abstract Views: 264  |  PDF Views: 1

Authors

B. Gobinath
Department of Computer Science, Valluvar College of Science & Management, Karur-639003, India
Dr. K. Meenakshisundaram
Department of Computer Science, Erode Arts & Science College, Erode - 638009, India

Abstract


Data mining is the technique of hidden, valid, and potentially useful patterns in huge data sets. Data Mining is all about discovering the previously unknown relationships amongst the data. It is a multi-disciplinary method that uses Machine Learning, Statistics, AI and Database Technologies. Data mining is also called as Knowledge Discovery, Knowledge Extraction, Data analysis, Information harvesting, etc. Data mining can able to handle the various types of data like Relational databases, Data warehouses, Object-Oriented and Object-Relational databases, Transactional and Spatial databases, Text mining and Web mining. This paper describes and discusses the various techniques associated with Data Mining Process.


Keywords


Organization, Data Mining, Artificial Intelligence, Machine Learning, Supervised Machine Learning, Expert Systems