Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Ruhsary Rexit"'
Autor:
Ye Ye, Fu-Chiang Tsui, Jeremy U. Espino, Sahawut Wesaratchakit, Panos K. Chrysanthis, Ruhsary Rexit
Publikováno v:
Information Systems. 48:151-163
In the era of "Big Data", a challenge is how to optimize our use of huge volumes of data. In this paper, we address this challenge in the context of a public health surveillance system which identifies disease outbreaks using individual and populatio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a6d75130b71b4fb28c4779678f93f2f2
https://doi.org/10.1016/j.is.2014.05.008
https://doi.org/10.1016/j.is.2014.05.008
Autor:
Sahawut Wesaratchakit, Ruhsary Rexit, Sisi Lu, Rich Tsui, Xiaochu Liu, Rebecca Hwa, Howard Su, Ye Ye
Publikováno v:
CollaborateCom
High dimensional feature space could potentially hinder the efficiency and performance for machine learning, and high correlations between features may further increase the redundancy and diminish performance of learning algorithms. Domain ontology p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::65ae2139da0e2b1fd2faa134126764f4
https://doi.org/10.4108/icst.collaboratecom.2013.254124
https://doi.org/10.4108/icst.collaboratecom.2013.254124
Autor:
Ye Ye, Sahawut Wesaratchakit, Jeremy U. Espino, Panos K. Chrysanthis, Fu-Chiang Tsui, Ruhsary Rexit
Publikováno v:
CollaborateCom
This study tests an approach for identifying sets of over-the-counter (OTC) thermometer products whose aggregate sales correlate optimally with aggregate counts of emergency department (ED) visits where patients have symptoms consistent with Constitu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fd68dcea0708d8ce1c6964bf922394bf
https://doi.org/10.4108/icst.collaboratecom.2012.250728
https://doi.org/10.4108/icst.collaboratecom.2012.250728