A Research Article on Data Mining in Addition to Process Mining: Similarities and Dissimilarities
International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
www.ijsr.net | Open Access | Fully Refereed | Peer Reviewed International Journal

ISSN: 2319-7064

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Research Paper | Computer Science & Engineering | India | Volume 3 Issue 6, June 2014

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

S. Sowjanya Chintalapati, Ch.G.V.N.Prasad, J. Sowjanya, R.Vineela

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.

Keywords: Data mining, Analyzing data, Knowledge discovery, Business intelligence BI, process mining, event log data

Edition: Volume 3 Issue 6, June 2014

Pages: 572 - 576

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How to Cite this Article?

S. Sowjanya Chintalapati, Ch.G.V.N.Prasad, J. Sowjanya, R.Vineela, "A Research Article on Data Mining in Addition to Process Mining: Similarities and Dissimilarities", International Journal of Science and Research (IJSR), https://www.ijsr.net/search_index_results_paperid.php?id=2014224, Volume 3 Issue 6, June 2014, 572 - 576

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