نتایج جستجو برای: process mining

تعداد نتایج: 1384082  

2010
Massimiliano Cattafi Evelina Lamma Fabrizio Riguzzi Sergio Storari

Business organizations achieve their mission by performing a number of processes. These span from simple sequences of actions to complex structured sets of activities with complex interrelation among them. The field of Business Processes Management studies how to describe, analyze, preserve and improve processes. In particular the subfield of Process Mining aims at inferring a model of the proc...

Journal: :J. Innovation in Digital Ecosystems 2016
Niek Tax Natalia Sidorova Reinder Haakma Wil M. P. van der Aalst

In this paper we describe a method to discover frequent behavioral patterns in event logs. We express these patterns as local process models. Local process model mining can be positioned in-between process discovery and episode / sequential pattern mining. The technique presented in this paper is able to learn behavioral patterns involving sequential composition, concurrency, choice and loop, l...

2011

A manifesto is a "public declaration of principles and intentions" by a group of people. This manifesto is written by members and supporters of the IEEE Task Force on Process Mining. The goal of this task force is to promote the research, development, education, implementation, evolution, and understanding of process mining. Process mining is a relatively young research discipline that sits bet...

2010
Marc Solé Josep Carmona

The problem of synthesis of Petri nets from transition systems or languages has many applications, ranging from CAD for VLSI to medical applications, among others. The most common algorithms to accomplish this task are based on the theory of regions. However, one of the problems of such algorithms is its space requirements: for real-life or industrial instances, some of the region-based algorit...

2009
Ana Karla A. de Medeiros Wil M. P. van der Aalst

Process mining techniques target the automatic discovery of information about process models in organizations. The discovery is based on the execution data registered in event logs. Current techniques support a variety of practical analysis, but they are somewhat limited because the labels in the log are not linked to any concepts. Thus, in this chapter we show how the analysis provided by curr...

2006
Joonsoo Bae James Caverlee Ling Liu Hua Yan

Mining, discovering, and integrating process-oriented services has attracted growing attention in the recent year. Workflow precedence graph and workflow block structures are two important factors for comparing and mining processes based on distance similarity measure. Some existing work has done on comparing workflow designs based on their precedence graphs. However, there lacks of standard di...

One of the main concerns of an underground coal mining engineer is the safety and stability of the mine. One way that the safety and stability can be ensured is to know and understand the coal mine geology and how it reacts to the mining process. One technique that has shown a lot of success in the coal mining industry for geologic technical evaluation purposes is the coal mine roof rating (CMR...

2015
Alfredo Bolt Wil M. P. van der Aalst

Process mining techniques enable the analysis of processes using event data. For structured processes without too many variations, it is possible to show a relative simple model and project performance and conformance information on it. However, if there are multiple classes of cases exhibiting markedly different behaviors, then the overall process will be too complex to interpret. Moreover, it...

پایان نامه :وزارت علوم، تحقیقات و فناوری - دانشگاه علامه طباطبایی - دانشکده اقتصاد 1393

due to extraordinary large amount of information and daily sharp increasing claimant for ui benefits and because of serious constraint of financial barriers, the importance of handling fraud detection in order to discover, control and predict fraudulent claims is inevitable. we use the most appropriate data mining methodology, methods, techniques and tools to extract knowledge or insights from ...

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