Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Hajar Homayouni"'
Publikováno v:
International Journal of Information and Communication Technology Research, Vol 6, Iss 2, Pp 29-40 (2014)
Automatic test case generation is an approach to decrease cost and time in software testing. Although there have been lots of proposed methods for automatic test case generation of web applications, there still exists some challenges which needs more
Externí odkaz:
https://doaj.org/article/329e238ba6c94bb89ecc8d94513141b0
Publikováno v:
2023 Australasian Computer Science Week.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f526d6ecba0418d5f42e96e1cd36f033
https://doi.org/10.1145/3579375.3579395
https://doi.org/10.1145/3579375.3579395
Publikováno v:
2022 IEEE 4th International Conference on Cognitive Machine Intelligence (CogMI).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::45b493456fcc0a9c32de794ec9b87e8a
https://doi.org/10.1109/cogmi56440.2022.00023
https://doi.org/10.1109/cogmi56440.2022.00023
Publikováno v:
Sn Computer Science
Anomaly detection and explanation in big volumes of real-world medical data, such as those pertaining to COVID-19, pose some challenges. First, we are dealing with time-series data. Typical time-series data describe behavior of a single object over t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bbe3ff21623bd5e856d1927d38d3c826
https://doi.org/10.1007/s42979-021-00658-w
https://doi.org/10.1007/s42979-021-00658-w
Publikováno v:
IEEE BigData
Data quality significantly impacts the results of data analytics. Researchers have proposed machine learning based anomaly detection techniques to identify incorrect data. Existing approaches fail to (1) identify the underlying domain constraints vio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a2b66648b54b6634d0f39b840da29612
https://doi.org/10.1109/bigdata50022.2020.9378192
https://doi.org/10.1109/bigdata50022.2020.9378192
Publikováno v:
IEEE BigData
Data quality tests validate heterogeneous data to detect violations of syntactic and semantic constraints. The specification of these constraints can be incomplete because domain experts typically specify them in an ad hoc manner. Existing automated
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cfd05e7b9ef846d32d4020f5ac01f939
https://doi.org/10.1109/bigdata47090.2019.9006446
https://doi.org/10.1109/bigdata47090.2019.9006446
Enterprises use data warehouses to accumulate data from multiple sources for data analysis and research. Since organizational decisions are often made based on the data stored in a data warehouse, all its components must be rigorously tested. Researc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c9ac7c69d8b6eaef8cee863d8a3f1efd
https://doi.org/10.1016/bs.adcom.2017.12.005
https://doi.org/10.1016/bs.adcom.2017.12.005
Autor:
Hajar Homayouni
Publikováno v:
ISSRE Workshops
Enterprises use data warehouses to accumulate data from multiple sources for analysis and research. A data warehouse is populated using the Extract, Transform, and Load (ETL) process that (1) extracts data from various sources, (2) integrates, cleans
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e75cc00e40f1d98261c6f5c6915684c8
https://doi.org/10.1109/issrew.2018.000-6
https://doi.org/10.1109/issrew.2018.000-6
Publikováno v:
IDEAS
The Extract-Transform-Load (ETL) process in data warehousing involves extracting data from source databases, transforming it into a form suitable for research and analysis, and loading it into a data warehouse. ETL processes can use complex transform
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5c44695652b88c5db53ff4bf4fc283cf
https://doi.org/10.1145/3216122.3216149
https://doi.org/10.1145/3216122.3216149
Publikováno v:
Journal of Software Engineering. 5:91-101
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1e504c203229b251bddd4d70368fd157
https://doi.org/10.3923/jse.2011.91.101
https://doi.org/10.3923/jse.2011.91.101