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Inductive Miner
Inductive miner belongs to a class of algorithms used in process discovery Business process discovery (BPD) related to business process management and process mining is a set of techniques that manually or automatically construct a representation of an organisations' current business processes and their major process varia .... Various algorithms proposed previously give process models of slightly different type from the same input. The quality of the output model depends on the soundness of the model. A number of techniques such as alpha miner, genetic miner, work on the basis of converting an event log into a workflow model, however, they do not produce models that are sound all the time. Inductive miner relies on building a directly follows graph from event log and using this graph to detect various process relations. __TOC__ Definitions A directly follows graph is a directed graph that connects an activity A to another activity B if and only if activity B occurs chronological ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Algorithm
In mathematics and computer science, an algorithm () is a finite sequence of rigorous instructions, typically used to solve a class of specific Computational problem, problems or to perform a computation. Algorithms are used as specifications for performing calculations and data processing. More advanced algorithms can perform automated deductions (referred to as automated reasoning) and use mathematical and logical tests to divert the code execution through various routes (referred to as automated decision-making). Using human characteristics as descriptors of machines in metaphorical ways was already practiced by Alan Turing with terms such as "memory", "search" and "stimulus". In contrast, a Heuristic (computer science), heuristic is an approach to problem solving that may not be fully specified or may not guarantee correct or optimal results, especially in problem domains where there is no well-defined correct or optimal result. As an effective method, an algorithm ca ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Business Process Discovery
Business process discovery (BPD) related to business process management and process mining is a set of techniques that manually or automatically construct a representation of an organisations' current business processes and their major process variations. These techniques use data recorded in the existing organisational methods of work, documentations, and technology systems that run business processes within an organisation. The type of data required for process discovery is called an event log. Any record of data that contains the case id (a unique identifier that is helpful in grouping activities belonging to the same case), activity name (description of the activity taking place), and timestamp. Such a record qualifies for an event log and can be used to discover the underlying process model. The event log can contain additional information related to the process, such as the resources executing the activity, the type or nature of the events, or any other relevant details. Process ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Wil Van Der Aalst
Willibrordus Martinus Pancratius van der Aalst (born 29 January 1966) is a Dutch computer scientist and full professor at RWTH Aachen University, leading the Process and Data Science (PADS) group. His research and teaching interests include information systems, workflow management, Petri nets, process mining, specification languages, and simulation. He is also known for his work on workflow patterns. Biography Born in Eersel, Netherlands, van der Aalst received an MSc in computing science in 1988 at the Technische Universiteit Eindhoven (TU/e), and a PhD in mathematics in 1992 with the thesis "Timed colored Petri nets and their application to logistics" under supervision of Jaap Wessels and Kees van Hee. In 1992 he started working at the Eindhoven University of Technology as an assistant professor for the department of Mathematics and Computing Science, where he headed the Specification and Modeling of Information Systems (SMIS) research group. From 2000 to 2003, he was ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Alpha Algorithm
The α-algorithm or α-miner is an algorithm used in process mining, aimed at reconstructing causality from a set of sequence of events, sequences of events. It was first put forward by Wil van der Aalst, van der Aalst, Weijters and Măruşter. The goal of Alpha miner is to convert the event log into a workflow-net based on the relations between various activities in the event log. An event log is a multi-set of traces, and a trace is a sequence of activity names. Several extensions or modifications of it have since been presented, which will be listed below. Alpha miner was the first Business process discovery, process discovery algorithm ever proposed, and it gives a good overview of the aim of process discovery and how various activities within the process are executed. Alpha miner was also the basis for the development of many other process mining techniques such aheuristic miner y if and only if some relation x is directly following by y. In our example, we can consider that A > ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Process Mining
Process mining is a family of techniques relating the fields of data science and process management to support the analysis of operational processes based on event logs. The goal of process mining is to turn event data into insights and actions. Process mining is an integral part of data science, fueled by the availability of event data and the desire to improve processes. Process mining techniques use event data to show what people, machines, and organizations are really doing. Process mining provides novel insights that can be used to identify the executional path taken by operational processes and address their performance and compliance problems. Process mining starts from event data. Input for process mining is an event log. An event log views a process from a particular angle. Each event in the log should contain (1) a unique identifier for a particular process instance (called case id), (2) an activity (description of the event that is occurring), and (3) a timestamp. There ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
