Zobrazeno 1 - 10
of 14 500
pro vyhledávání: '"association rule learning"'
Publikováno v:
Heliyon, Vol 10, Iss 13, Pp e33260- (2024)
This study applies the Apriori algorithm and social network analysis to analyze travelogue data from the Qinghai-Tibet Plateau, effectively mapping significant border tourism hotspots and their interconnections within defined networks. Our findings d
Externí odkaz:
https://doaj.org/article/ff47cadbaa34428bb3012cc46bca9f65
Autor:
Monerah Alawadh, Ahmed Barnawi
Publikováno v:
Journal of Theoretical and Applied Electronic Commerce Research, Vol 19, Iss 1, Pp 152-171 (2024)
Studying customer behavior and anticipating future trends is a challenging task, as customer behavior is complex and constantly evolving. To effectively anticipate future trends, businesses need to analyze large amounts of data, use sophisticated ana
Externí odkaz:
https://doaj.org/article/f3cbb7615b1f40c485e281475152fda6
Autor:
William A. Russel, Jim Perry, Claire Bonzani, Amanda Dontino, Zeleke Mekonnen, Ahmet Ay, Bineyam Taye
Publikováno v:
Frontiers in Epidemiology, Vol 3 (2023)
IntroductionPrevious studies have sought to identify risk factors for malnutrition in populations of schoolchildren, depending on traditional logistic regression methods. However, holistic machine learning (ML) approaches are emerging that may provid
Externí odkaz:
https://doaj.org/article/286777c68cf945f58ce42a841f2a31bf
Akademický článek
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Autor:
Haosong Li, Phillip C.-Y. Sheu
Publikováno v:
Journal of Big Data, Vol 9, Iss 1, Pp 1-25 (2022)
Abstract Association rule learning algorithms have been applied to microarray datasets to find association rules among genes. With the development of microarray technology, larger datasets have been generated recently that challenge the current assoc
Externí odkaz:
https://doaj.org/article/e73dcce8c90b4cd0bbdd6edf35fb51bb
Akademický článek
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Autor:
Haosong Li, Phillip C.-Y. Sheu
Publikováno v:
Journal of Big Data, Vol 8, Iss 1, Pp 1-32 (2021)
Abstract Many algorithms have proposed to solve the association rule learning problem. However, most of these algorithms suffer from the problem of scalability either because of tremendous time complexity or memory usage, especially when the dataset
Externí odkaz:
https://doaj.org/article/395141f816424953b1f91a80d6a7c99f
Publikováno v:
International Journal on Digital Libraries, 23, 3, 267-288
Author affiliations provide key information when attributing academic performance like publication counts. So far, such measures have been aggregated either manually or only to top-level institutions, such as universities. Supervised affiliation reso
Externí odkaz:
https://www.ssoar.info/ssoar/handle/document/86950
Publikováno v:
Journal of Big Data, Vol 7, Iss 1, Pp 1-19 (2020)
Abstract Much corporate organization nowadays implement enterprise resource planning (ERP) to manage their business processes. Because the processes run continuously, ERP produces a massive log of processes. Manual observation will have difficulty mo
Externí odkaz:
https://doaj.org/article/80f2a0b075bd44a7b328a950b8d80ab1
Publikováno v:
Journal of Big Data, Vol 6, Iss 1, Pp 1-21 (2019)
Abstract Due to the advanced features in recent smartphones and context-awareness in mobile technologies, users’ diverse behavioral activities with their phones and associated contexts are recorded through the device logs. Behavioral patterns of sm
Externí odkaz:
https://doaj.org/article/f11a4b07085249bea3116630743ffe40