Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Aleksandra Revina"'
Publikováno v:
IEEE Access, Vol 8, Pp 193380-193395 (2020)
Recently, automatic classification of IT tickets has gained notable attention due to the increasing complexity of IT services deployed in enterprises. There are multiple discussions and no general opinion in the research and practitioners' community
Externí odkaz:
https://doaj.org/article/b13d2d7aacd3406092830fb6fa066c23
Publikováno v:
Information, Vol 12, Iss 10, p 423 (2021)
Digitalization increasingly enforces organizations to accommodate changes and gain resilience. Emerging technologies, changing organizational structures and dynamic work environments bring opportunities and pose new challenges to organizations. Such
Externí odkaz:
https://doaj.org/article/950e7b2eb2fa410688f1f69e77cf9b3f
Publikováno v:
Lecture Notes in Information Systems and Organisation ISBN: 9783031303500
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e3cbf5c0e013e6ac0460e743c8f62768
https://doi.org/10.1007/978-3-031-30351-7_34
https://doi.org/10.1007/978-3-031-30351-7_34
Publikováno v:
Lecture Notes in Business Information Processing ISBN: 9783031268854
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::69f249d547be1c2f6d32ef49a2252eda
https://doi.org/10.1007/978-3-031-26886-1_2
https://doi.org/10.1007/978-3-031-26886-1_2
Assessing business process complexity based on textual data: Evidence from ITIL IT ticket processing
Publikováno v:
Business Process Management Journal. 27:1966-1998
PurposeThis study aims to draw the attention of business process management (BPM) research and practice to the textual data generated in the processes and the potential of meaningful insights extraction. The authors apply standard natural language pr
Autor:
Ünal Aksu, Aleksandra Revina
Publikováno v:
Information Systems. 114:102184
With the advent of digital transformation, organizations increasingly rely on various information systems to support their business processes (BPs). Recorded data, including textual data and event log, expand exponentially, complicating decision-maki
Publikováno v:
Lecture Notes in Information Systems and Organisation ISBN: 9783030732608
The article considers cross-functional teams as an alternative to the traditional team-building approach in industrial digital transformation. Based on the contextual analysis of the reasons for creating cross-functional teams, their polyphonic natur
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::595b7069e3ffbb0c11082fa75e9ff53c
https://doi.org/10.1007/978-3-030-73261-5_17
https://doi.org/10.1007/978-3-030-73261-5_17
Autor:
Aleksandra Revina
Publikováno v:
ICE-B
Publikováno v:
Studies in Computational Intelligence ISBN: 9783030649487
Nowadays, enterprises need to handle a continually growing amount of text data generated internally by their employees and externally by current or potential customers. Accordingly, the attention of managers shifts to an efficient usage of this data
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8311d74c6731c172d4709e583a0e3b78
https://doi.org/10.1007/978-3-030-64949-4_10
https://doi.org/10.1007/978-3-030-64949-4_10
Autor:
Aleksandra Revina, Krisztian Buza
Publikováno v:
INISTA
In many applications, it may be expensive, difficult or even impossible to obtain class labels for a large amount of the instances, therefore, the labeled data may not be representative. Semi-supervised learning aims to alleviate this problem by usin