Turnitin
降AI改写
早检测系统
早降重系统
Turnitin-UK版
万方检测-期刊版
维普编辑部版
Grammarly检测
Paperpass检测
checkpass检测
PaperYY检测
Process mining over multiple behavioral dimensions with event knowledge graphs
Classical process mining relies on the notion of a unique case identifier, which is used to
partition event data into independent sequences of events. In this chapter, we study the …
partition event data into independent sequences of events. In this chapter, we study the …
Ocel: a standard for object-centric event logs
The application of process mining techniques to real-life information systems is often
challenging. Considering a Purchase to Pay (P2P) process, several case notions such as …
challenging. Considering a Purchase to Pay (P2P) process, several case notions such as …
Discovering object-centric petri nets
Techniques to discover Petri nets from event data assume precisely one case identifier per
event. These case identifiers are used to correlate events, and the resulting discovered Petri …
event. These case identifiers are used to correlate events, and the resulting discovered Petri …
Multi-dimensional event data in graph databases
Process event data is usually stored either in a sequential process event log or in a
relational database. While the sequential, single-dimensional nature of event logs aids …
relational database. While the sequential, single-dimensional nature of event logs aids …
OC-PM: analyzing object-centric event logs and process models
Object-centric process mining is a novel branch of process mining that aims to analyze event
data from mainstream information systems (such as SAP) more naturally, without being …
data from mainstream information systems (such as SAP) more naturally, without being …
Advancements and challenges in object-centric process mining: A systematic literature review
Recent years have seen the emergence of object-centric process mining techniques. Born
as a response to the limitations of traditional process mining in analyzing event data from …
as a response to the limitations of traditional process mining in analyzing event data from …
Object-centric process predictive analytics
Object-centric processes (also known as Artifact-centric processes) are implementations of a
paradigm where an instance of one process is not executed in isolation but interacts with …
paradigm where an instance of one process is not executed in isolation but interacts with …
Precision and fitness in object-centric process mining
Traditional process mining considers only one single case notion and discovers and
analyzes models based on this. However, a single case notion is often not a realistic …
analyzes models based on this. However, a single case notion is often not a realistic …
Preserving complex object-centric graph structures to improve machine learning tasks in process mining
Interactions of multiple processes and different objects can be captured using object-centric
event data. Object-centric event data represent process executions as event graphs of …
event data. Object-centric event data represent process executions as event graphs of …
[PDF][PDF] An event data extraction approach from SAP ERP for process mining
The extraction, transformation, and loading of event logs from information systems is the first
and the most expensive step in process mining. In particular, extracting event logs from …
and the most expensive step in process mining. In particular, extracting event logs from …