A Research Article on Data Mining in Addition to Process Mining: Similarities and Dissimilarities

"Generally, data mining (sometimes called data or 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, cuts costs, or both. Technically, data mining is the process of finding correlations or patterns among dozens of fields in large relational databases. On the other hand Process mining is a process management technique that allows for the analysis of business processes based on event logs. The basic idea is to extract knowledge from event logs recorded by an information system. Process mining aims at improving this by providing techniques and tools for discovering process, control, data, organizational, and social structures from event logs. This paper mainly supports a “missing link” between data mining and traditional model-driven BPM.Its primary objective is the discovery of process models based on available event log data. The discovered process models can be used for a variety of analysis purposes. This article provides an introduction to process mining. It addresses basic concepts necessary to understand and apply process mining. "