Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Honour Chika Nwagwu"'
Publikováno v:
Journal of Big Data, Vol 4, Iss 1, Pp 1-11 (2017)
Abstract Big datasets are often stored in flat files and can contain contradictory data. Contradictory data undermines the soundness of the information from a noisy dataset. Traditional tools such as pie chart and bar chart are overwhelmed when used
Externí odkaz:
https://doaj.org/article/ec66885673ce48f5a500a9be0c9d0f71
Autor:
Stanley Ebhohimhen Abhadiomhen, Royransom Chimela Nzeh, Ernest Domanaanmwi Ganaa, Honour Chika Nwagwu, George Emeka Okereke, Sidheswar Routray
Publikováno v:
Neural Processing Letters. 54:2491-2508
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::eeb5d69dd7820b1c694aac1fb4245168
https://doi.org/10.1007/s11063-021-10703-7
https://doi.org/10.1007/s11063-021-10703-7
Publikováno v:
International Journal of Conceptual Structures and Smart Applications. 3:12-24
Visual analysis has witnessed a growing acceptance as a method of scientific inquiry in the research community. It is used in qualitative and mixed research methods. Even so, visual data analysis is likely to produce biased results when used in analy
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2ee0d911cdbd7d71e8c1341b9b6c68cf
https://doi.org/10.4018/ijcssa.2015070102
https://doi.org/10.4018/ijcssa.2015070102
Publikováno v:
Journal of Big Data, Vol 4, Iss 1, Pp 1-11 (2017)
Big datasets are often stored in flat files and can contain contradictory data. Contradictory data undermines the soundness of the information from a noisy dataset. Traditional tools such as pie chart and bar chart are overwhelmed when used to visual
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8d42397eb11fe2d98d59eee78b700b4b
https://doi.org/10.1186/s40537-017-0100-9
https://doi.org/10.1186/s40537-017-0100-9
Autor:
Honour Chika Nwagwu
Publikováno v:
International Journal of Conceptual Structures and Smart Applications. 2:68-82
The integration of data from different data sources can result to the existence of inconsistent or incomplete data (IID). IID can undermine the validity of information retrieved from an integrated dataset. There is therefore a need to identify these
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5215152896bdc53f481bb99a8cdf1706
https://doi.org/10.4018/ijcssa.2014010105
https://doi.org/10.4018/ijcssa.2014010105