Zobrazeno 1 - 10 of 12 pro vyhledávání: '"Farbod Taymouri"'
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Akademický článek
Dusting for fingerprints: Tracking online student engagement
Autor: Abel Armas-Cervantes, Ehsan Abedin, Farbod Taymouri
Publikováno v: Computers and Education: Artificial Intelligence, Vol 6, Iss , Pp 100232- (2024)
Hybrid learning strategies blend face-to-face instruction with online components, using Learning Management Systems (LMSs) as key platforms for educational resources. In strategies like the flipped classroom, students need to follow a specific learni
Externí odkaz: https://doaj.org/article/37c93cd55fd3431aaf73ed154e4843e3
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2
Business Process Variant Analysis Based on Mutual Fingerprints of Event Logs
Autor: Josep Carmona, Marcello La Rosa, Farbod Taymouri
Publikováno v: Advanced Information Systems Engineering
Advanced Information Systems Engineering ISBN: 9783030494346
CAiSE
UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
Comparing business process variants using event logs is a common use case in process mining. Existing techniques for process variant analysis detect statistically-significant differences between variants at the level of individual entities (such as p
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::decc428e0eb1066fd65de7788f55e23b
http://europepmc.org/articles/PMC7266464
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4
Computing alignments of well-formed process models using local search
Autor: Farbod Taymouri, Josep Carmona
Publikováno v: UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
The alignment of observed and modeled behavior is an essential element for organizations, since it opens the door for conformance checking and enhancement of processes. The state-of-the-art technique for computing alignments has exponential time and
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c502df89e668c1baf23e7d17d1ad4846
https://hdl.handle.net/2117/331006
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5
Predictive Business Process Monitoring via Generative Adversarial Nets: The Case of Next Event Prediction
Autor: Zahra Dasht Bozorgi, Marcello La Rosa, Sarah M. Erfani, Farbod Taymouri, Ilya Verenich
Publikováno v: Lecture Notes in Computer Science ISBN: 9783030586652
BPM
Predictive process monitoring aims to predict future characteristics of an ongoing process case, such as case outcome or remaining timestamp. Recently, several predictive process monitoring methods based on deep learning such as Long Short-Term Memor
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::eab475a43260434df26de48d084ade45
https://doi.org/10.1007/978-3-030-58666-9_14
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6
Business Process Variant Analysis: Survey and Classification
Autor: Fabrizio Maria Maggi, Marlon Dumas, Farbod Taymouri, Marcello La Rosa
Publikováno v: Knowledge-Based Systems
It is common for business processes to exhibit a high degree of internal heterogeneity, in the sense that the executions of the process differ widely from each other due to contextual factors, human factors, or deliberate business decisions. For exam
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::02b52cf0aac8907968a1ed685d7b883d
http://arxiv.org/abs/1911.07582
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7
Structural Computation of Alignments of Business Processes Over Partial Orders
Autor: Farbod Taymouri, Josep Carmona
Publikováno v: ACSD
UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
Relating event data and process models is becoming an important element for organizations. This paper presents a novel approach for aligning traces and process models. The approach is based on the structural theory of Petri nets (the marking equation
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::123be2b26435c2a61fbe9820afdf1595
https://doi.org/10.1109/acsd.2019.00012
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9
An Evolutionary Technique to Approximate Multiple Optimal Alignments
Autor: Farbod Taymouri, Josep Carmona
Publikováno v: Lecture Notes in Computer Science ISBN: 9783319986470
BPM
Recercat. Dipósit de la Recerca de Catalunya
instname
UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
The alignment of observed and modeled behavior is an essential aid for organizations, since it opens the door for root-cause analysis and enhancement of processes. The state-of-the-art technique for computing alignments has exponential time and space
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::dd7afd32d8c4d40446a1eba0c0410ff1
https://doi.org/10.1007/978-3-319-98648-7_13
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10
Model and Event Log Reductions to Boost the Computation of Alignments
Autor: Farbod Taymouri, Josep Carmona
Publikováno v: Lecture Notes in Business Information Processing ISBN: 9783319741604
SIMPDA
Scopus-Elsevier
Lecture Notes in Business Information Processing
6th International Symposium on Data-Driven Process Discovery and Analysis (SIMPDA)
6th International Symposium on Data-Driven Process Discovery and Analysis (SIMPDA), Dec 2016, Graz, Austria. pp.1-21, ⟨10.1007/978-3-319-74161-1_1⟩
International audience; The alignment of observed and modeled behavior is a pivotal issue in process mining because it opens the door for assessing the quality of a process model, as well as the usage of the model as a precise predictor for the execu
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5e6fcc0bc75dae91d91f0025c6812166
https://doi.org/10.1007/978-3-319-74161-1_1
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