EIRP Proceedings, Vol 6 (2011)
Accounting and Financial Data Analysis Data Mining Tools
Abstract
Computerized accounting systems in recent years have seen an increase in complexity due to the
competitive economic environment but with the help of data analysis solutions such as OLAP and Data
Mining can be a multidimensional data analysis, can detect the fraud and can discover knowledge hidden in
data, ensuring such information is useful for decision making within the organization. In the literature there
are many definitions for data mining but all boils down to same idea: the process takes place to extract new
information from large data collections, information without the aid of data mining tools would be very
difficult to obtain. Information obtained by data mining process has the advantage that only respond to the
question of what happens but at the same time argue and show why certain things are happening. In this paper
we wish to present advanced techniques for analysis and exploitation of data stored in a multidimensional
database.
competitive economic environment but with the help of data analysis solutions such as OLAP and Data
Mining can be a multidimensional data analysis, can detect the fraud and can discover knowledge hidden in
data, ensuring such information is useful for decision making within the organization. In the literature there
are many definitions for data mining but all boils down to same idea: the process takes place to extract new
information from large data collections, information without the aid of data mining tools would be very
difficult to obtain. Information obtained by data mining process has the advantage that only respond to the
question of what happens but at the same time argue and show why certain things are happening. In this paper
we wish to present advanced techniques for analysis and exploitation of data stored in a multidimensional
database.
References
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