| Title: | Design and Development of a Data Mining System for Superstore Business |
| DOI No: | 10.1142/9781860948534_0024 |
| Source: | INNOVATIVE APPLICATIONS OF INFORMATION TECHNOLOGY FOR THE DEVELOPING WORLD (pp 155-162)
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| Author(s): | S. M. Shamimul Hasan, Lecturer
Department of Computer Science, Stamford University, Bangladesh, India
Indrani Haque, Associate Professor
School of Engineering and Computer Science, Independent University, Bangladesh, India
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| Abstract: | Data mining allows extracting diamonds of knowledge from historical data and predicting outcomes of future situations. In developed countries people are relying more and more on data mining to find business solutions. It is also possible for us in developing countries to be benefited from the power of data mining technology. The goal of this paper is to apply data mining theory and principles in a typical business environment. We describe a data mining system specially designed for superstore business. This system allows the user to effectively build multidimensional data model named data cube and browsing it, discover different types of interesting association among products and also searching in natural language technology. It has been shown, how data mining technology could be useful specifically in superstore business. |
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| TOC: | Back to Table of Contents |
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