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An Overview of Data Mining


Affiliations
1 Pooja Bhagavat Memorial Mahajana PG Centre, DoS in CS, KRS Road, Metagalli, Mysore - 570 016, India
 

Organizations in the world wide generate huge amount of data which is mostly unorganized. This unorganized data requires some processing to generate meaningful and useful information. In order to organize the huge amount of data, we implement the database management system concept such as SQL Server. Structured Queury Language (SQL) is a query language used to retrieve and manipulate the data that are stored in relational database management systems. However, use of SQL is not always adequate to meet the end user requirements of sophisticated information from unorganized data bank. This paper describes the concepts of data mining, its process, techniques and some of its applications.

Keywords

Data Mining, KDD–Knowledge Data Discovery, Patterns, Machine Learning.
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  • An Overview of Data Mining

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Authors

H. B. Basanth Kumar
Pooja Bhagavat Memorial Mahajana PG Centre, DoS in CS, KRS Road, Metagalli, Mysore - 570 016, India

Abstract


Organizations in the world wide generate huge amount of data which is mostly unorganized. This unorganized data requires some processing to generate meaningful and useful information. In order to organize the huge amount of data, we implement the database management system concept such as SQL Server. Structured Queury Language (SQL) is a query language used to retrieve and manipulate the data that are stored in relational database management systems. However, use of SQL is not always adequate to meet the end user requirements of sophisticated information from unorganized data bank. This paper describes the concepts of data mining, its process, techniques and some of its applications.

Keywords


Data Mining, KDD–Knowledge Data Discovery, Patterns, Machine Learning.