Zobrazeno 1 - 10
of 22
pro vyhledávání: '"Sara Alaee"'
Autor:
Ryan Mercer, Sara Alaee, Alireza Abdoli, Nader Shakibay Senobari, Shailendra Singh, Amy Murillo, Eamonn Keogh
Publikováno v:
Data Mining and Knowledge Discovery. 36:877-915
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d816c01cc60d0d09e08b580c5179c46e
https://doi.org/10.1007/s10618-022-00824-5
https://doi.org/10.1007/s10618-022-00824-5
Publikováno v:
Data Mining and Knowledge Discovery. 35:863-910
In recent years, time series motif discovery has emerged as perhaps the most important primitive for many analytical tasks, including clustering, classification, rule discovery, segmentation, and summarization. In parallel, it has long been known tha
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9fccd661d235f02fe0d2c92072f63574
https://doi.org/10.1007/s10618-021-00740-0
https://doi.org/10.1007/s10618-021-00740-0
Publikováno v:
Research on Addiction, Vol 5, Iss 18, Pp 99-114 (2011)
Introduction: The purpose of the present study was to investigate the prevalence of tobacco, hubble-bubble, alcoholic drinks, and other drugs among Karaj high-school students in 2011. Methods: The research method was a descriptive-sectional study. Pa
Externí odkaz:
https://doaj.org/article/6d38eaa29a034b82a1a5de832d5f720b
Publikováno v:
2021 IEEE International Conference on Data Mining (ICDM).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::59a481d59f87c62d9d57c2b6356cc4d5
https://doi.org/10.1109/icdm51629.2021.00151
https://doi.org/10.1109/icdm51629.2021.00151
Publikováno v:
ICDM
Over the last decade, time series motif discovery has emerged as a useful primitive for many downstream analytical tasks, including clustering, classification, rule discovery, segmentation, and summarization. In parallel, there has been an increased
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::87aa7871adc5d70310fe5eefc782a5b0
https://doi.org/10.1109/icdm50108.2020.00099
https://doi.org/10.1109/icdm50108.2020.00099
Publikováno v:
Advances in Intelligent Systems and Computing ISBN: 9783030630881
Query-based similarity search is a useful exploratory tool that has been used in many areas such as music, economics, and biology to find common patterns and behaviors. Existing query-based search systems allow users to search large time series colle
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a774c50283dcd2e724ad5ce59912e4d9
https://doi.org/10.1007/978-3-030-63089-8_27
https://doi.org/10.1007/978-3-030-63089-8_27
Autor:
Shima Imani, Alec C. Gerry, Alireza Abdoli, Leslie Hickle, Amy C. Murillo, Eamonn Keogh, Sara Alaee
Publikováno v:
KDD
Chickens are the most important poultry species in the world. Globally, industrial-scale production systems account for most of the poultry meat and eggs produced. The welfare of these birds matters for both ethical and economic reasons. From an ethi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b9aa1d49547b04612c0085f92a7fa1a2
https://doi.org/10.1145/3394486.3403385
https://doi.org/10.1145/3394486.3403385
Testing the Relationship between Bursty Star Formation and Size Fluctuations of Local Dwarf Galaxies
Autor:
Najmeh Emami, Brian Siana, Kareem El-Badry, David Cook, Xiangcheng Ma, Daniel Weisz, Joobin Gharibshah, Sara Alaee, Claudia Scarlata, Evan Skillman
Publikováno v:
The Astrophysical Journal. 922:217
Stellar feedback in dwarf galaxies plays a critical role in regulating star formation via galaxy-scale winds. Recent hydrodynamical zoom simulations of dwarf galaxies predict that the periodic outward flow of gas can change the gravitational potentia
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fe6d1dd64e14abd5e5ccb015456df64b
https://doi.org/10.3847/1538-4357/ac1f8d
https://doi.org/10.3847/1538-4357/ac1f8d
Publikováno v:
Journal of Global Information Technology Management. 20:91-109
The purpose of this study is to investigate Iran’s eLearning research status in comparison with the world. We propose a method based on a text mining approach for extracting knowledge from Iranian published articles and generating the corresponding
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a9125cc468181dddcc296db6daba4579
https://doi.org/10.1080/1097198x.2017.1321355
https://doi.org/10.1080/1097198x.2017.1321355