INTERACTIVE TEMPORAL MINING OF WORKFLOW LOGS

Data mining also known as knowledge discovery is the process of analyzing data from different perspectives and summarizing it into useful information- information that can be used to increase revenue, cut costs, or both. The data mining techniques used to analyze the business processes are called Process Mining techniques. The basic idea is to extract knowledge from event logs recorded by an information system. Workflow is the record of who does what and when. Process Workflow Management Systems aims at improving the efficiency within the business by automating many of its processes. Workflow mining is the process of analyzing the workflow event logs to produce useful knowledge about a process. The workflow mining techniques extract the frequent workflow patterns. The timestamps contained in process logs are used to define the sequential ordering of the performed tasks. These models reveal sequential patterns of tasks but do not reveal the temporal distance between the tasks. To overcome this limitation, time is explicitly included in extracted patterns i.e. temporal mining is used. In this work, a novel technique is developed for the analysis of process workflow logs using the Temporal Mining and Information Control Net (ICN) workflow modeling language. Such a technique is useful in analyzing process logs in all the process perspectives including the temporal component revealing th