Zobrazeno 1 - 6
of 6
pro vyhledávání: '"sub_databases"'
Publikováno v:
Sharma, P, Baglee, D, Campos, J & Jantunen, E 2017, ' Big Data Collection and Analysis for Manufacturing Organisations ', Big Data and Information Analytics, vol. 2, no. 2, pp. 127-139 . https://doi.org/10.3934/bdia.2017002
Data mining applications are becoming increasingly important for the wide range of manufacturing and maintenance processes. During daily operations, large amounts of data are generated. This large volume and variety of data, arriving at a greater vel
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7bb53e527a72bc2693616359be80cf55
https://doi.org/10.3934/bdia.2017002
https://doi.org/10.3934/bdia.2017002
Publikováno v:
Computers in Biology and Medicine. 120:103743
Despite the significant progress in managing patients infected with HIV through the development of Highly Active Anti-Retroviral Therapy (HAART), major challenges and opportunities remain to be explored. Of particular interest, is the binding of glyc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f3e13cc52309afb403aced741428eb57
https://doi.org/10.1016/j.compbiomed.2020.103743
https://doi.org/10.1016/j.compbiomed.2020.103743
Autor:
Medhat, Fady, Mohammadi, Mahnaz, Jaf, Sardar, Willcocks, G. Chris, Breckon, Toby, McGough, Stephen, Theodoropoulos, Georgios, Obara, Boguslaw
Publikováno v:
IEEE International Conference on Big Data
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=core_ac_uk__::b66f0582450e48f63e44f870fed537ad
Publikováno v:
Neural Computing and Applications. 15:9-17
The Kohonen self-organising feature map (SOM) has several important properties that can be used within the data mining/knowledge discovery and exploratory data analysis process. A key characteristic of the SOM is its topology preserving ability to ma
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c1131620fb5189bff1ce055c5b5aecbf
https://doi.org/10.1007/s00521-005-0002-1
https://doi.org/10.1007/s00521-005-0002-1
Imputation of missing data is important in many\ud areas, such as reducing non-response bias in surveys and\ud maintaining medical documentation. Nearest neighbour (NN)\ud imputation algorithms replace the missing values within any\ud particular obse
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=core_ac_uk__::26d406d305096e515875fc6d4cc58bfe
http://sure.sunderland.ac.uk/id/eprint/5284/1/WCE2007_pp940-947.pdf
http://sure.sunderland.ac.uk/id/eprint/5284/1/WCE2007_pp940-947.pdf
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