Title
Skip Miner: Towards the Simplification of Spaghetti-like Business Process Models
Abstract
The importance of correctly monitoring business processes within organisations is increasing the interest on process mining techniques, especially process discovery techniques that aim to model the real behaviour of processes from their multiple executions. Notwithstanding, the resulting process models are sometimes extremely complex and lack structure, hence hampering their comprehension. This kind of processes are popularly known as spaghetti processes. With the aim to simplify and bring meaningful structure to spaghetti processes, this article presents Skip Miner, a novel process discovery algorithm implementing a built-in simplification strategy, that attempts to reduce the complexity of process models. For the sake of completeness, the method is evaluated using a real event log encompassing spaghetti-like processes and, it is compared with other simplification techniques available in the literature.
Year
DOI
Venue
2019
10.1109/IISA.2019.8900713
2019 10th International Conference on Information, Intelligence, Systems and Applications (IISA)
Keywords
Field
DocType
Process mining,Business process,Spaghetti process model,Process simplification,Event log,Graph
Graph,Business process,Software engineering,Computer science,Process modeling,Business process modeling,Business process discovery,Completeness (statistics),Comprehension,Process mining
Conference
ISSN
ISBN
Citations 
2379-3732
978-1-7281-4960-8
0
PageRank 
References 
Authors
0.34
7
2
Name
Order
Citations
PageRank
Edgar Batista101.35
Agusti Solanas268750.73