Incremental Process Discovery
This book constitutes the revised version of the award-winning PhD dissertation written by the author at RWTH Aachen, Germany. It presents a framework for incremental process discovery that allows users to learn and refine process models from event data iteratively. Next to process discovery and eve...
Na minha lista:
| Autor principal: | |
|---|---|
| Autor Corporativo: | |
| Formato: | Recurso Electrónico livro electrónico |
| Idioma: | inglês |
| Publicado em: |
Cham :
Springer Nature Switzerland : Imprint: Springer,
2025.
|
| Edição: | 1st ed. 2025. |
| Colecção: | Lecture Notes in Business Information Processing,
540 |
| Assuntos: | |
| Acesso em linha: | https://doi.org/10.1007/978-3-031-80565-3 |
| Tags: |
Adicionar Tag
Sem tags, seja o primeiro a adicionar uma tag!
|
MARC
| LEADER | 00000nam a22000005i 4500 | ||
|---|---|---|---|
| 001 | 978-3-031-80565-3 | ||
| 003 | DE-He213 | ||
| 005 | 20260810153649.0 | ||
| 007 | cr nn 008mamaa | ||
| 008 | 250408s2025 sz | o |||| 0|eng d | ||
| 020 | |a 9783031805653 |9 978-3-031-80565-3 | ||
| 024 | 7 | |a 10.1007/978-3-031-80565-3 |2 doi | |
| 050 | 4 | |a HD30.2 | |
| 072 | 7 | |a KJQ |2 bicssc | |
| 072 | 7 | |a COM005030 |2 bisacsh | |
| 072 | 7 | |a KJQ |2 thema | |
| 082 | 0 | 4 | |a 658.4038 |2 23 |
| 100 | 1 | |a Schuster, Daniel. |e author. |0 (orcid)0000-0002-6512-9580 |1 https://orcid.org/0000-0002-6512-9580 |4 aut |4 http://id.loc.gov/vocabulary/relators/aut | |
| 245 | 1 | 0 | |a Incremental Process Discovery |h [electronic resource] / |c by Daniel Schuster. |
| 250 | |a 1st ed. 2025. | ||
| 264 | 1 | |a Cham : |b Springer Nature Switzerland : |b Imprint: Springer, |c 2025. | |
| 300 | |a 1 online resource (XVI, 367 p. 156 illus.). |b 76 illus. in color. | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 347 | |a text file |b PDF |2 rda | ||
| 490 | 1 | |a Lecture Notes in Business Information Processing, |x 1865-1356 ; |v 540 | |
| 505 | 0 | |a Opening and fundamentals -- incremental process discovery -- facilitating interaction with event data -- realization and application -- closure. | |
| 520 | |a This book constitutes the revised version of the award-winning PhD dissertation written by the author at RWTH Aachen, Germany. It presents a framework for incremental process discovery that allows users to learn and refine process models from event data iteratively. Next to process discovery and event data handling, it also contributes to conformance checking, a further fundamental process mining task. Eventually, it presents Cortado, an open-source process mining software tool that implements the algorithms and techniques proposed in an integrated and comprehensive fashion. This part also includes a case study applying Cortado and, therefore, the various contributions of this thesis in a real-life scenario. In 2024, this PhD dissertation won the “Best Process Mining PhD Dissertation Award” by the IEEE Task Force for Process Mining, granted to outstanding PhD theses in this field. | ||
| 588 | |a Print version record. | ||
| 650 | 0 | |a Information technology |x Management. | |
| 650 | 1 | 4 | |a Business Process Management. |
| 650 | 2 | 4 | |a Computer Application in Administrative Data Processing. |
| 710 | 2 | |a SpringerLink (Online service) | |
| 773 | 0 | |t Springer Nature eBook | |
| 776 | 0 | 8 | |i Printed edition: |z 9783031805646 |
| 776 | 0 | 8 | |i Printed edition: |z 9783031805660 |
| 830 | 0 | |a Lecture Notes in Business Information Processing, |x 1865-1356 ; |v 540 | |
| 856 | 4 | 0 | |u https://doi.org/10.1007/978-3-031-80565-3 |
| 912 | |a ZDB-2-SCS | ||
| 912 | |a ZDB-2-SXCS | ||
| 912 | |a ZDB-2-LNB | ||
| 912 | |a ZDB-2-239 | ||
| 950 | |a Computer Science (SpringerNature-11645) | ||
| 950 | |a Computer Science (R0) (SpringerNature-43710) | ||
| 950 | |a Focus Bundle Software and Systems (SpringerNature-85409) | ||