Mining Processes using cluster approach for representing workflows

Although much attention is being paid to business Intelligence during the past decades, the design for applying business Intelligence and particularly in a workflow processes is still more art than science. Data Mining is an analytic process designed to explore data (usually large amounts of data that typically is business, or market related) in search of consistent patterns and/or systematic relationships between variables, and then to validate the findings by applying the detected patterns to new subsets of data[1]. Data mining gained popularity as a business information management tool due to its predictive abilities, the results of which can help executives to make better business decisions.Although the work is inspired by applications in the process mining and workflow domains, the results are generic and can be applied in other application domains. The basic goal for process mining is to extract details from existing event logs to uncover patterns useful to the business. It is p...

• Type: Journal
• Year: 2008
• Where: JCIT
• Authors: N. P. Kavya, M. V. Sathyanarayana, N. C. Naveen
• Keywords: Business, Business Intelligence, JCIT 2008, Mining