Methodological and practical aspects of data mining

The Deployment of Data Mining into Operational Business Processes

“…The literature review reveals that it is used mainly for the purposes of decision support (Rupnik et al, 2007). There are only few examples introducing daily use of data mining in business processes (Kohavi & Provost, 2001;Feelders et al, 2000;Chung & Gray, 1999). We can say that data mining is predominantly used to support decision making on a tactical level in decision processes and business processes.…”

“…Authors also argue that one must deal with social issues when deploying automated solutions to previously manual processes. Feelders et al (2000) discuss the use of data mining in business processes with the emphasis on the integration of data mining models and solutions into existing application systems within information systems. Authors argue that it is essential that the results of data mining are used to support operational business processes like direct mailing for the selection of potential customers.…”

Explanation of exceptional values in multi-dimensional business databases

“…Another example where correlation between the data does not imply a causal relation was found in a database with data on traffic accidents (Feelders et al 2000). This notion of causality has been discussed extensively in de Kleer and Brown (1986),…”

Data Mining Applications: Promise and Challenges

“…These contributions have provided a rich set of techniques for data analysis. However, in comparison, we observe only a few research work in data mining that discusses practical aspects pertaining to data mining application (Feelders et al, 2000;Karim, 2001). There is a dire need for research focusing these challenges and issues in data mining application.…”