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Please use this identifier to cite or link to this item: http://hdl.handle.net/123456789/5711

Title: Data Analysis in a Corporate Organization With Data Mining (A Case Study at Steel Wheels Inc.)
Authors: Adamu, Mohammed Mustapha
Issue Date: 12-Jun-2012
Abstract: Corporate data management has attracted lots of research interests in the data mining community. Recent studies have shown that Artificial Intelligence (AI) methods achieved better performance than traditional statistical methods. This study seeks to leverage available tools and technologies to develop a business intelligence (BI) system to access data from heterogeneous sources like Excel, Access, Oracle, IBM DB2, Microsoft SQL, Sybase, Ingres, MySQL, Postgres, SPSS, dBase and Text files, into a single platform (standard XML) for complex analyses. The k-means model includes analysis, metadata, data mining, reporting and dashboards that provide a highly interactive and easy to use interface for business users to access data, create and interact with reports and dashboards, and analyze data across multiple dimensions to business problems. With a rich graphical user interface, this system offers high performance ETL (Extract, Transform and Load) functionality that covers all data integration needs, in organization of any size. We introduce tools such as “PAN”, “SPOON”, “KETTLE” and “WEKA” which call the k-means algorithm from our Java codes to do the clustering task. A recent trend in data mining where systems provide Web-based interfaces and allowing XML data as input and or output has been achieved by this study.
Description: A Thesis submitted to the Department of Computer Science, Kwame Nkrumah University of Science and Technology in partial fulfillment of the requirements for the degree of Master of Philosophy in Information Technology, June-2012
URI: http://hdl.handle.net/123456789/5711
Appears in Collections:College of Science

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