11 citations · 11 across the 2 of their papers we have counts for
3 papers
IoT Miner: Intelligent Extraction of Event Logs from Sensor Data for Process Mining
Edyta Brzychczy, Urszula Jessen, Krzysztof Kluza +2
This paper presents IoT Miner, a novel framework for automatically creating high-level event logs from raw industrial sensor data to support process mining. In many real-world sett…
Case ID detection based on time series data -- the mining use case
Edyta Brzychczy, Tomasz Pełech-Pilichowski, Ziemowit Dworakowski
Process mining gains increasing popularity in business process analysis, also in heavy industry. It requires a specific data format called an event log, with the basic structure in…
KnAC: an approach for enhancing cluster analysis with background knowledge and explanations
Szymon Bobek, Michał Kuk, Jakub Brzegowski +2
Pattern discovery in multidimensional data sets has been the subject of research for decades. There exists a wide spectrum of clustering algorithms that can be used for this purpos…