Zobrazeno 1 - 10
of 24
pro vyhledávání: '"Seung Hwan Ryu"'
Autor:
Seung Hwan Ryu
Publikováno v:
Comparativ: Leipziger Beiträge zur Universalgeschichte und Vergleichenden Gesellschaftsforschung; 2023, Vol. 33 Issue 3, p359-376, 18p
Autor:
Kim Hyein, Seung Hwan Ryu, Sang Hyun Moh, Atul Kulkarni, Varsha A. Parasharami, Medini Dingre, Prem Prakash Pandey, Hyo Hyun Seo
Publikováno v:
Vegetos. 33:158-165
Plants have played a vital role in curative and preventive healthcare. Ficus religiosa L., a medicinally important tree has been used as a traditional medicine to treat various ailments and skin diseases. However, its skin anti-ageing properties are
Autor:
Boualem Benatallah, Seung Hwan Ryu
Publikováno v:
Information Sciences. 379:338-355
Similarity search (or similar entity search) is the process of finding all entities similar to a given entity (e.g., a person, a document, or an image). Although many techniques for similarity analysis have been proposed in the past, little work has
Autor:
Kyung Rok Lee, Seung Hwan Ryu, Sang Hyun Moh, Jeong-Hun Lee, Byung Suk Han, Seung Hee Cho, Hye In Kim, Kim Hyoung Shik
Publikováno v:
Journal of Applied Biological Chemistry. 59:239-242
Autor:
Wei Wang, Seung Hwan Ryu, Srikumar Venugopal, Boualem Benatallah, Hamid Reza Motahari-Nezhad, Seyed-Mehdi-Reza Beheshti
Publikováno v:
Computing. 99:313-349
Information extraction (IE) is the task of automatically extracting structured information from unstructured/semi-structured machine-readable documents. Among various IE tasks, extracting actionable intelligence from an ever-increasing amount of data
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783319920122
ADC
ADC
Tables in documents are a rich and under-exploited source of structured data in otherwise unstructured documents. The extraction and understanding of tabular data is a challenging task which has attracted the attention of researchers from a range of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2c61e17c037bf824a820bb64e23c4d3f
https://doi.org/10.1007/978-3-319-92013-9_30
https://doi.org/10.1007/978-3-319-92013-9_30
Autor:
Seyed-Mehdi-Reza Beheshti, Boualem Benatallah, Sherif Sakr, Daniela Grigori, Hamid Reza Motahari-Nezhad, Moshe Chai Barukh, Ahmed Gater, Seung Hwan Ryu
This book starts with an introduction to process modeling and process paradigms, then explains how to query and analyze process models, and how to analyze the process execution data. In this way, readers receive a comprehensive overview of what is ne
Autor:
Seyed-Mehdi-Reza Beheshti, Boualem Benatallah, Sherif Sakr, Daniela Grigori, Hamid Reza Motahari-Nezhad, Moshe Chai Barukh, Ahmed Gater, Seung Hwan Ryu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ca7d38a782a620cfcf196c2a18bb7ed1
https://doi.org/10.1007/978-3-319-25037-3
https://doi.org/10.1007/978-3-319-25037-3
Autor:
Seung Hwan Ryu, Daniela Grigori, Boualem Benatallah, Ahmed Gater, Hamid Reza Motahari-Nezhad, Moshe Chai Barukh, Sherif Sakr, Seyed-Mehdi-Reza Beheshti
Publikováno v:
Process Analytics ISBN: 9783319250366
This chapter presents process matching techniques that are useful in a series of process model analytics tasks. After presenting some application scenarios such as behavior-based Web service discovery, scientific workflow discovery, and process simil
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::48bcbfc4d2d6805ae077833e8a70a665
https://doi.org/10.1007/978-3-319-25037-3_3
https://doi.org/10.1007/978-3-319-25037-3_3
Autor:
Sherif Sakr, Hamid Reza Motahari-Nezhad, Seung Hwan Ryu, Boualem Benatallah, Moshe Chai Barukh, Ahmed Gater, Daniela Grigori, Seyed-Mehdi-Reza Beheshti
Publikováno v:
Process Analytics ISBN: 9783319250366
This chapter looks at business process data analysis and provides an overview of different aspects of business data analysis techniques and approaches from process/dataspaces to data provenance and data-based querying techniques. After providing an o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6a8c056658e61c7b99464462079c1afd
https://doi.org/10.1007/978-3-319-25037-3_5
https://doi.org/10.1007/978-3-319-25037-3_5