Oriental Journal of Computer Science and Technology

Akazue Maureen ¹, Ojeme Blessing ¹

Affiliations
1 Mathematics and Computer Science Department, Delta State University, Abraka, NG

Abstract

Generally, data mining (sometimes called data or knowledge discovery) is the process of analyzing data from different perspectives and summarizing it into useful information that can be used to increase revenue, cuts costs, or both. Data mining software is one of a number of analytical tools for analyzing data. It allows users to analyze data from many different dimensions or angles, categorize it, and summarize the relationships identified. Technically, data mining is the process of finding correlations or patterns among dozens of fields in large relational databases. A framework to guide a phone business is discussed using data mining tools (decision Tree) to predict future trends and behaviors of their customers, thus, allowing their businesses to make proactive, knowledge-driven decisions. The impact of integrating data mining with acquisition marketing campaign management is also explained.

Keywords

Data Warehouses, Database Marketing, Data Mining, Attrition (Churn), Campaign Management, Customer Segment.

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Akazue Maureen ¹, Ojeme Blessing ¹, Daniel Anidibia ¹

Affiliations
1 Mathematics & Computer Science Department, Delta State University, Abraka, NG

Abstract

Computers are changing our language, our habits, our environment and generally our world. Solving mathematics is more interesting when it is carried out via a computer. So also is statistics which can be broadly classified into descriptive and inferential classes. Statistical inference varies when a sample data that is a subject of the population is well used to make statements about a population. This research is focused on the development of a software program to solve problems on hypothesis testing of population mean and population variance. It showed that solving statistical inference is easier, interactive and interesting when it’s carried out in a computerized system.

Keywords

Statistical Inference, Hardware, Software, Hypothesis Testing, Population Mean, Population Variance.

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