Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Swaib Kyanda"'
Autor:
Mark Abraham Magumba, Hasifah Kasujja Namatovu, Swaib Kyanda Kaawaase, Agnes Rwashana Semwanga
Publikováno v:
Health Informatics - An International Journal. 10:1-16
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e75737663086f4af813bcde5938c8871
https://doi.org/10.5121/hiij.2021.10301
https://doi.org/10.5121/hiij.2021.10301
There is growing interest in the rate of eHealth uptake resulting from the increased potential to advance the quality of healthcare services in both the developed and developing countries. Although the implementation of information and communication
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______2659::7adcceebab1be889bd8677d719a9ae9e
https://zenodo.org/record/5493104
https://zenodo.org/record/5493104
Publikováno v:
Journal of Electronic & Information Systems. 3
This paper presents a First responder emergency response tool (EMApp) as a step towards achieving integrated emergency care in developing countries, the case of Uganda. The EMApp prototype has potential to support health emergency response from vario
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ff5de1d4c002da611cfe25f1ae8bad1c
https://doi.org/10.30564/jeisr.v3i1.3440
https://doi.org/10.30564/jeisr.v3i1.3440
Autor:
Swaib Kyanda, Peter Ochieng
Publikováno v:
Artificial Intelligence Review. 52:2623-2650
Pay as you go ontology matching, the technique of first executing an automatic matching tool and then engaging users to improve the quality of an alignment produced by the tool is gaining popularity. Most of the existing techniques employ a single us
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::55ad99d5edb85acd35e13b38aafff8f8
https://doi.org/10.1007/s10462-018-9632-4
https://doi.org/10.1007/s10462-018-9632-4
Autor:
Peter Ochieng, Swaib Kyanda
Publikováno v:
Distributed and Parallel Databases. 36:643-673
Ontology matching, the process of resolving heterogeneity between two ontologies consumes a lot of computing memory and time. This problem is exacerbated in large ontology matching tasks. To address the problem of time and space complexity in the mat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cb36897dd1f1eefd1414bdd641e77eb6
https://doi.org/10.1007/s10619-018-7222-8
https://doi.org/10.1007/s10619-018-7222-8
Autor:
Peter Ochieng, Swaib Kyanda
Publikováno v:
Distributed and Parallel Databases. 36:195-217
Ontologies have become a popular means of knowledge sharing and reuse. This has motivated development of large independent ontologies within the same or different domains with some overlapping information among them. In order to match such large onto
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::401299f71c71e0d0327abd7936136c50
https://doi.org/10.1007/s10619-017-7206-0
https://doi.org/10.1007/s10619-017-7206-0
Publikováno v:
SEiA@ICSE
Feature selection is referred to the process of obtaining a subset from an original feature set according to certain feature selection criterion, which selects the relevant features of the dataset. It plays a role in compressing the data processing s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e978ee706a33e35fb7ae112877d2bad5
https://doi.org/10.1109/seia.2019.00009
https://doi.org/10.1109/seia.2019.00009
Publikováno v:
SEiA
The area of fraud detection1 has been traditionally correlated with data mining and text mining. Even before the "big data" phenomena started in 2008, text mining and data mining were used as instruments of fraud detection. However, the limited techn
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7371af6c65a9f107a141c4b2565822a9
https://doi.org/10.1145/3195528.3195534
https://doi.org/10.1145/3195528.3195534