Treatment of lack of information in process mining
Process mining is a research discipline including discovery, monitoring and improvement of real processes by extracting knowledge from event logs readily available in today's information systems. Most process mining algorithms assume that the traces are complete and free of noise. In reality,...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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Universidad de Antioquia
2014-01-01
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| Series: | Revista Facultad de Ingeniería Universidad de Antioquia |
| Subjects: | |
| Online Access: | https://revistas.udea.edu.co/index.php/ingenieria/article/view/18131 |
| _version_ | 1797861713238818816 |
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| author | Raykenler Yzquierdo-Herrera Rogelio Silverio-Castro Manuel Lazo-Cortés |
| author_facet | Raykenler Yzquierdo-Herrera Rogelio Silverio-Castro Manuel Lazo-Cortés |
| author_sort | Raykenler Yzquierdo-Herrera |
| collection | DOAJ |
| description |
Process mining is a research discipline including discovery, monitoring and improvement of real processes by extracting knowledge from event logs readily available in today's information systems. Most process mining algorithms assume that the traces are complete and free of noise. In reality, this assumption is rarely met. The lack of information affects the structure and understanding of the model discovered. The paper proposes a set of steps to estimate the lack of information in the traces used in processes mining. Align traces during the pre-processing stage is proposed as part of the estimation in order to detect possible situations in which lack of information is manifested. From detected situations, missing information is estimated and a new record is generated in correspondence to the event, which can be used by different process discovery algorithms. Finally we discuss the experimental results obtained from implementing the approach.
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| first_indexed | 2024-04-09T22:08:40Z |
| format | Article |
| id | doaj.art-c0b3211ed53e4f7abd272526b482480c |
| institution | Directory Open Access Journal |
| issn | 0120-6230 2422-2844 |
| language | English |
| last_indexed | 2024-04-09T22:08:40Z |
| publishDate | 2014-01-01 |
| publisher | Universidad de Antioquia |
| record_format | Article |
| series | Revista Facultad de Ingeniería Universidad de Antioquia |
| spelling | doaj.art-c0b3211ed53e4f7abd272526b482480c2023-03-23T12:33:32ZengUniversidad de AntioquiaRevista Facultad de Ingeniería Universidad de Antioquia0120-62302422-28442014-01-016910.17533/udea.redin.18131Treatment of lack of information in process mining Raykenler Yzquierdo-Herrera0Rogelio Silverio-Castro1Manuel Lazo-Cortés2Informatic Science UniversityInformatic Science UniversityInformatic Science University Process mining is a research discipline including discovery, monitoring and improvement of real processes by extracting knowledge from event logs readily available in today's information systems. Most process mining algorithms assume that the traces are complete and free of noise. In reality, this assumption is rarely met. The lack of information affects the structure and understanding of the model discovered. The paper proposes a set of steps to estimate the lack of information in the traces used in processes mining. Align traces during the pre-processing stage is proposed as part of the estimation in order to detect possible situations in which lack of information is manifested. From detected situations, missing information is estimated and a new record is generated in correspondence to the event, which can be used by different process discovery algorithms. Finally we discuss the experimental results obtained from implementing the approach. https://revistas.udea.edu.co/index.php/ingenieria/article/view/18131lack of informationprocess miningtraceevent log |
| spellingShingle | Raykenler Yzquierdo-Herrera Rogelio Silverio-Castro Manuel Lazo-Cortés Treatment of lack of information in process mining Revista Facultad de Ingeniería Universidad de Antioquia lack of information process mining trace event log |
| title | Treatment of lack of information in process mining |
| title_full | Treatment of lack of information in process mining |
| title_fullStr | Treatment of lack of information in process mining |
| title_full_unstemmed | Treatment of lack of information in process mining |
| title_short | Treatment of lack of information in process mining |
| title_sort | treatment of lack of information in process mining |
| topic | lack of information process mining trace event log |
| url | https://revistas.udea.edu.co/index.php/ingenieria/article/view/18131 |
| work_keys_str_mv | AT raykenleryzquierdoherrera treatmentoflackofinformationinprocessmining AT rogeliosilveriocastro treatmentoflackofinformationinprocessmining AT manuellazocortes treatmentoflackofinformationinprocessmining |