Add to ORKGAbstract—Scientific workflows have recently emerged as a new paradigm for representing and managing complex distributed scientific computations and are used to accelerate the pace of scientific discovery. In many disciplines, individual workflows are large due to the large quantities of data used. As scientific workflows scale quickly, they become very hard to build and maintain. Recent efforts from scientific workflow community aiming at large-scale capturing of provenance present a new opportunity for building scientific workflows using provenance. Process mining focusses on extracting information about processes by examining event logs, and has been successfully applied to business workflow management. This paper presents a method using ...
The article discusses the approach to the analysis of business processes, called process mining, and...
Process mining techniques are able to extract knowledge from event logs commonly available in today’...
Process mining techniques are able to extract knowledge from event logs commonly available in today’...
Scientific workflows have recently emerged as a new paradigm for representing and managing complex d...
Scientific workflows have recently emerged as a new paradigm for representing and managing complex d...
Over the past decade process mining has emerged as a new analytical discipline able to answer a vari...
Integrated provenance support promises to be a chief advantage of scientific workflow systems over s...
Capturing provenance about artifacts produced by distributed scientific processes is a challenging t...
Abstract—Capturing provenance about artifacts produced by distributed scientific processes is a chal...
The automated tracking and storage of provenance information promises to be a major advantage of sci...
Contemporary workflow management systems are driven by explicit process models, i.e., a completely ...
Many scientists are using workflows to systematically design and run computational experiments. Once...
Abstract: Workflows are increasingly used in science to manage complex computations and data proces...
Data provenance is key to understanding and interpreting the results of scientific experiments. This...
Business process management systems (Smith and Fingar 2003) provide a fundamental infrastructure to ...
The article discusses the approach to the analysis of business processes, called process mining, and...
Process mining techniques are able to extract knowledge from event logs commonly available in today’...
Process mining techniques are able to extract knowledge from event logs commonly available in today’...
Scientific workflows have recently emerged as a new paradigm for representing and managing complex d...
Scientific workflows have recently emerged as a new paradigm for representing and managing complex d...
Over the past decade process mining has emerged as a new analytical discipline able to answer a vari...
Integrated provenance support promises to be a chief advantage of scientific workflow systems over s...
Capturing provenance about artifacts produced by distributed scientific processes is a challenging t...
Abstract—Capturing provenance about artifacts produced by distributed scientific processes is a chal...
The automated tracking and storage of provenance information promises to be a major advantage of sci...
Contemporary workflow management systems are driven by explicit process models, i.e., a completely ...
Many scientists are using workflows to systematically design and run computational experiments. Once...
Abstract: Workflows are increasingly used in science to manage complex computations and data proces...
Data provenance is key to understanding and interpreting the results of scientific experiments. This...
Business process management systems (Smith and Fingar 2003) provide a fundamental infrastructure to ...
The article discusses the approach to the analysis of business processes, called process mining, and...
Process mining techniques are able to extract knowledge from event logs commonly available in today’...
Process mining techniques are able to extract knowledge from event logs commonly available in today’...