A Five-Level Framework for Research on Process Mining
نویسندگان
چکیده
منابع مشابه
A Framework for Interactive Multidimensional Process Mining
The emerging concept of multidimensional process mining adopts the ideas of data cubes and OLAP to analyze processes from multiple views. Analysts can split the event log into a set of homogenous sublogs according to its case and event attributes. Process mining techniques are used to create an individual process model for each sublog representing variants of the process. These models can be co...
متن کاملA Framework for Recommending Resource Allocation Based on Process Mining
Dynamically allocating the most appropriate resource to execute the different activities of a business process is an important challenge in business process management. An ineffective allocation may lead to an inadequate resources usage, higher costs, or a poor process performance. Different approaches have been used to solve this challenge: data mining techniques, probabilistic allocation, or ...
متن کاملProcess mining: a research agenda
Enterprise information systems support and control operational business processes ranging from simple internal back-office processes to complex interorganizational processes. Technologies such as WorkflowManagement (WFM), Enterprise Application Integration (EAI), Enterprise Resource Planning (ERP), and Web Services (WS) typically focus on the realization of IT support rather than monitoring the...
متن کاملA Multi-Level Process Mining Framework for Correlating and Clustering of Biomedical Activities using Event Logs
Cost, time and resources are major factors affecting the quality of hospitals business processes. Bio-medical processes are twisted, unstructured and based on time series making it difficult to do proper process modeling for them. On other hand, Process mining can be used to provide an accurate view of biomedical processes and their execution. Extracting process models from biomedical code sequ...
متن کاملA framework for Multi-level Trace Abstraction and Semantic Process Mining
ion Doctoral Consortium ICCBR 2017
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Business & Information Systems Engineering
سال: 2021
ISSN: ['2363-7005', '1867-0202']
DOI: https://doi.org/10.1007/s12599-021-00718-8