| Type of Material: | Thesis |
| Title: | Study on Process Mining for Efficient Workflow Predictions |
| Researcher: | Thamizharasan, R |
| Guide: | Kumaravel, A |
| Department: | Department of Engineering and Technology(Computer Science and Engineering) |
| Publisher: | Bharath University, Chennai |
| Place: | Chennai |
| Year: | 2018 |
| Language: | English |
| Subject: | Computer Science | Computer Science Theory and Methods | Engineering and Technology | Computer Science and Information Technology | Engineering and Technology |
| Dissertation/Thesis Note: | PhD; Department of Engineering and Technology(Computer Science and Engineering), Bharath University, Chennai, Chennai; 2018; D13CS016 |
| Fulltext: | Shodhganga |
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| 040 | __ | |aBHAU_600073|dIN-AhILN |
| 041 | __ | |aeng |
| 100 | __ | |aThamizharasan, R|eResearcher |
| 110 | __ | |aDepartment of Engineering and Technology(Computer Science and Engineering)|bBharath University, Chennai|dChennai|ein|0U-0446 |
| 245 | __ | |aStudy on Process Mining for Efficient Workflow Predictions |
| 260 | __ | |aChennai|bBharath University, Chennai|c2018 |
| 300 | __ | |dDVD |
| 502 | __ | |bPhD|cDepartment of Engineering and Technology(Computer Science and Engineering), Bharath University, Chennai, Chennai|d2018|oD13CS016 |
| 520 | __ | |aSoftware process mining is a combination of data mining and business process model that takes business process from event logs. Event logs are available in all organization. Business process logs are essential source of information. With various graphs and nets observed from the event logs will be used to determine and improve the processes which should be executed and integrated to any institutes for better presentation. Event logs have information about process, time and data event of business execution. Process mining techniques is used to dig business process model using various event logs. Old information are used to analyse the hidden processes. Process mining improves the methods and apparatuses in identifying routes, data, institute, and societal behaviors from incident logs. The purpose of process mining is to analyse corporate process by excavating event logs for informative data. Customer satisfaction can be achieved with automated business models to provide valuable insight for the firm. Any pro |
| 650 | __ | |aComputer Science and Information Technology|2UGC |
| 650 | __ | |aEngineering and Technology|2AIU |
| 653 | __ | |aComputer Science |
| 653 | __ | |aComputer Science Theory and Methods |
| 653 | __ | |aEngineering and Technology |
| 700 | __ | |aKumaravel, A|eGuide |
| 856 | __ | |uhttp://shodhganga.inflibnet.ac.in/handle/10603/317002|yShodhganga |
| 905 | __ | |afromsg |
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