Zobrazeno 1 - 10
of 62
pro vyhledávání: '"van Dongen, Boudewijn F."'
The execution of different cases of a process is often restricted by inter-case dependencies through e.g., queueing or shared resources. Various high-level Petri net formalisms have been proposed that are able to model and analyze coevolving cases. I
Externí odkaz:
http://arxiv.org/abs/2304.05210
Predicting the behaviour of shoppers provides valuable information for retailers, such as the expected spend of a shopper or the total turnover of a supermarket. The ability to make predictions on an individual level is useful, as it allows supermark
Externí odkaz:
http://arxiv.org/abs/2210.09738
Conformance checking (CC) techniques of the process mining field gauge the conformance of the sequence of events in a case with respect to a business process model, which simply put is an amalgam of certain behavioral relations or rules. Online confo
Externí odkaz:
http://arxiv.org/abs/2112.13640
Publikováno v:
In Information Systems July 2023 117
Typical legacy information systems store data in relational databases. Process mining is a research discipline that analyzes this data to obtain insights into processes. Many different process mining techniques can be applied to data. In current tech
Externí odkaz:
http://arxiv.org/abs/1806.01657
The aim of process discovery, originating from the area of process mining, is to discover a process model based on business process execution data. A majority of process discovery techniques relies on an event log as an input. An event log is a stati
Externí odkaz:
http://arxiv.org/abs/1704.08101
Publikováno v:
In Information Systems December 2021 102
Autor:
Spenrath, Yorick, Hassani, Marwan, van Dongen, Boudewijn F., Tariq, Haseeb, Dong, Yuxiao, Mladenic, Dunja, Saunders, Craig
Publikováno v:
Machine Learning and Knowledge Discovery in Databases. Applied Data Science and Demo Track ISBN: 9783030676698
ECML/PKDD (5)
Machine Learning and Knowledge Discovery in Databases. Applied Data Science and Demo Track-European Conference, ECML PKDD 2020, Proceedings, 323-338
STARTPAGE=323;ENDPAGE=338;TITLE=Machine Learning and Knowledge Discovery in Databases. Applied Data Science and Demo Track-European Conference, ECML PKDD 2020, Proceedings
ECML/PKDD (5)
Machine Learning and Knowledge Discovery in Databases. Applied Data Science and Demo Track-European Conference, ECML PKDD 2020, Proceedings, 323-338
STARTPAGE=323;ENDPAGE=338;TITLE=Machine Learning and Knowledge Discovery in Databases. Applied Data Science and Demo Track-European Conference, ECML PKDD 2020, Proceedings
Transaction analysis is an important part in studies aiming to understand consumer behaviour. The first step is defining a proper measure of similarity, or more specifically a distance metric, between transactions. Existing distance metrics on transa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::63ac636dc61b32fca71dfa911d4ae629
https://doi.org/10.1007/978-3-030-67670-4_20
https://doi.org/10.1007/978-3-030-67670-4_20
Autor:
Lu, Xixi, Tabatabaei, Seyed Amin, Hoogendoorn, Mark, Reijers, Hajo A., Hildebrandt, Thomas, van Dongen, Boudewijn F., Röglinger, Maximilian, Mendling, Jan
Publikováno v:
Business Process Management, 11675, 198. Springer
Business Process Management: 17th International Conference, BPM 2019, Vienna, Austria, September 1–6, 2019, Proceedings, 198-215
STARTPAGE=198;ENDPAGE=215;TITLE=Business Process Management
Lu, X, Tabatabaei, S A, Hoogendoorn, M & Reijers, H A 2019, Trace Clustering on Very Large Event Data in Healthcare Using Frequent Sequence Patterns . in T Hildebrandt, B F van Dongen, M Röglinger & J Mendling (eds), Business Process Management : 17th International Conference, BPM 2019, Vienna, Austria, September 1–6, 2019, Proceedings . Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 11675 LNCS, Springer Verlag, pp. 198-215, 17th International Conference on Business Process Management, BPM 2019, Vienna, Austria, 1/09/19 . https://doi.org/10.1007/978-3-030-26619-6_14
Lecture Notes in Computer Science ISBN: 9783030266189
Business Process Management: 17th International Conference, BPM 2019, Vienna, Austria, September 1–6, 2019, Proceedings, 198-215
STARTPAGE=198;ENDPAGE=215;TITLE=Business Process Management
Lu, X, Tabatabaei, S A, Hoogendoorn, M & Reijers, H A 2019, Trace Clustering on Very Large Event Data in Healthcare Using Frequent Sequence Patterns . in T Hildebrandt, B F van Dongen, M Röglinger & J Mendling (eds), Business Process Management : 17th International Conference, BPM 2019, Vienna, Austria, September 1–6, 2019, Proceedings . Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 11675 LNCS, Springer Verlag, pp. 198-215, 17th International Conference on Business Process Management, BPM 2019, Vienna, Austria, 1/09/19 . https://doi.org/10.1007/978-3-030-26619-6_14
Lecture Notes in Computer Science ISBN: 9783030266189
Trace clustering has increasingly been applied to find homogenous process executions. However, current techniques have difficulties in finding a meaningful and insightful clustering of patients on the basis of healthcare data. The resulting clusters
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::86ce07a37a891f6fcd588e04b65157af
https://dspace.library.uu.nl/handle/1874/417135
https://dspace.library.uu.nl/handle/1874/417135