Zobrazeno 1 - 10
of 76
pro vyhledávání: '"Vangipuram, Radhakrishna"'
Publikováno v:
International Journal of Intelligent Engineering & Systems; 2024, Vol. 17 Issue 6, p1023-1043, 21p
Autor:
Aljawarneh, Shadi A., Vangipuram, Radhakrishna, Puligadda, Veereswara Kumar, Vinjamuri, Janaki
Publikováno v:
In Future Generation Computer Systems September 2017 74:430-443
Autor:
Vangipuram, Radhakrishna1 (AUTHOR) radhakrishna_v@vnrvjiet.in, Kumar, P. V.2 (AUTHOR), Janaki, Vinjamuri3 (AUTHOR), Aljawarneh, Shadi. A.4 (AUTHOR), Lara, Juan A.5 (AUTHOR), Khatatneh, Khalaf6 (AUTHOR)
Publikováno v:
Foundations of Science. Dec2020, Vol. 25 Issue 4, p1027-1048. 22p. 1 Chart, 13 Graphs.
Autor:
Vangipuram, Radhakrishna1 (AUTHOR), Gunupudi, Rajesh Kumar1 (AUTHOR) gunupudirajesh@gmail.com, Puligadda, Veereswara Kumar2 (AUTHOR), Vinjamuri, Janaki3 (AUTHOR)
Publikováno v:
Expert Systems. Oct2020, Vol. 37 Issue 5, p1-16. 16p.
Autor:
Aljawarneh, Shadi A.1 (AUTHOR) saaljawarneh@just.edu.jo, Vangipuram, Radhakrishna2 (AUTHOR)
Publikováno v:
Journal of Supercomputing. Jun2020, Vol. 76 Issue 6, p4376-4413. 38p.
Publikováno v:
Journal of Data and Information Quality. 13:1-8
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c1e4145fea0ee5549cf709988161489f
https://doi.org/10.1145/3404198
https://doi.org/10.1145/3404198
Publikováno v:
International Journal of Information Technology and Web Engineering. 14:1-18
In this research, the authors propose a novel tree structure called GANDIVA which computes true supports of all temporal itemsets by performing a tree-based scan and eliminating the database scan which is required for SPAMINE, G-SPAMINE, MASTER, and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4e3c5e45541a99ef55d53d4166485ae5
https://doi.org/10.4018/ijitwe.2019100101
https://doi.org/10.4018/ijitwe.2019100101
Publikováno v:
Foundations of Science. 25:1147-1171
Discovery of temporal association patterns, temporal association rules from temporal databases is extensively studied by academic research community and applied in various industrial applications. Temporal association pattern discovery is extended to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::10a041a0decddf9062ab2ebdc73d5e6a
https://doi.org/10.1007/s10699-019-09594-8
https://doi.org/10.1007/s10699-019-09594-8
Publikováno v:
Neural Computing and Applications. 32:16337-16365
Mining association patterns from a time-stamped temporal database distributed over finite time slots is implicitly associated with task of scanning the input database. Finding supports of itemsets requires scanning the input database. Database scan c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6b1f2d042342d55500f0edc4ba59b7eb
https://doi.org/10.1007/s00521-018-3776-7
https://doi.org/10.1007/s00521-018-3776-7
Publikováno v:
Future Generation Computer Systems. 83:582-595
Data generated from Sensors, IoT environment and many real time applications is mainly spatial, temporal, or spatio-temporal. Some of them include data generated from geospatial, geographical, medical, weather, finance and environmental applications.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c2f0d679d6e501451f506b6166bc4d96
https://doi.org/10.1016/j.future.2017.03.016
https://doi.org/10.1016/j.future.2017.03.016