Data Mining: Using C++ to Measure Correlation between Real Valued and Nominal Valued datasets IJIRCST

Abstract

In vast databases, there are various fields of mixed data types such as real, nominal and ordinal etc. In data mining applications, to know the relationship among data sets is an important issue. A correlation is commonly used for measuring relationship between two data sets and the correlation coefficient measures the strength as well as direction between two data sets and usually used in the context of real valued data sets. In this paper, the correlation coefficient between real valued and nominal valued data sets has been measured by using C++ language.

Keywords

Correlation, Data mining, Nominal values, Real values.

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Cites this article as

[Mr. Shahid Ali Khan, Prof (Dr.) Praveen Dhyani (2015), Data Mining: Using C++ to Measure Correlation between Real Valued and Nominal Valued datasets, International Journal of Innovative Research in Computer Science & Technology (IJIRCST), Vol-3, Issue-2, Page No-55-59], (ISSN 2347 - 5552). www.ijircst.org

Corresponding Author

Mr. Shahid Ali Khan

Asst. Professor, Department of Computer Sciences & Engineering, Waljat College of Applied Sciences, P.O.Box-197 P.C.-124 Oman, Tel: +968-24446660(334)