Process Mining Tools Comparison

Abstract

Process mining is a new era in the science of data mining and is a subset of business intelligence. Process mining analysis provides an idea about a general process by comparing each process with others in the terms of time and responsible people who deal with the process. For this reason, event logs are checked. Event logs consist of large data. Because the event logs keep all the records that occur during short time intervals. Special programs are needed to examine such data. These programs generate a process map using information such as event ID, activity, time and responsible person. Through the analysis, processes are discovered, monitored and improved. In this study, the tools named ProM, Disco, Celonis and My-Invenio used in process mining were examined and their performance according to usage features compared. According to the obtained results, the usefulness, performance and reporting features of the software used in a process analysis are revealed.

Keywords

• Data Mining
• Business Intelligence
• Process Mining

Süreç Madenciliği Araçları Karşılaştırması

Abstract

Süreç madenciliği veri madenciliği biliminde yeni bir alan olup iş zekasının bir alt koludur. Süreç madenciliği analizi her bir sürecin kim tarafından ve hangi zaman aralığında yapıldığını diğer süreçlerle kıyaslayarak genel sürecin işleyişi hakkında fikir edinmeye çalışır. Bu sebeple olay günlüklerine bakılır. Olay günlükleri ise büyük verilerden oluşur. Çünkü olay günlükleri kısa zaman aralıklarında meydana gelen tüm kayıtları saklar. Bu tür verilerin incelenmesi için özel programlara ihtiyaç vardır. Bu programlar olay kimliği, aktivite, zaman ve sorumlu kişiler gibi bilgileri kullanarak bir süreç haritası ortaya çıkartırlar. Bu analiz sayesinde süreçler keşfedilir, izlenir ve geliştirilir. Bu çalışmada süreç madenciliğinde kullanılan ProM, Disco, Celonis ve My-Invenio isimli araçlar incelenmiş ve kullanım özelliklerine göre performansları kıyaslanmıştır. Elde edilen sonuçlar sayesinde bir sürecin analizinde kullanılan yazılımların etkin kullanım, performans ve raporlama özellikleri ortaya konmuştur.

Keywords

• Veri Madenciliği
• İş Zekası
• Süreç Madenciliği

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