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pro vyhledávání: '"Mehta Anil"'
Educational Data Mining has become extremely popular among researchers in last decade. Prior effort in this area was only directed towards prediction of academic performance of a student. Very less number of researches are directed towards predicting
Externí odkaz:
http://arxiv.org/abs/2407.17591
Educational Data Mining (EDM) is a promising field, where data mining is widely used for predicting students performance. One of the most prevalent and recent challenge that higher education faces today is making students skillfully employable. Insti
Externí odkaz:
http://arxiv.org/abs/2407.16884
Data Mining is a promising field and is applied in multiple domains for its predictive capabilities. Data in the real world cannot be readily used for data mining as it suffers from the problems of multidimensionality, unbalance and missing values. I
Externí odkaz:
http://arxiv.org/abs/2406.03507
Publikováno v:
Orphanet Journal of Rare Diseases, Vol 5, Iss Suppl 1, p P6 (2010)
Externí odkaz:
https://doaj.org/article/fc48d11dd6c24925b87b89f750529b5e
Publikováno v:
Orphanet Journal of Rare Diseases, Vol 5, Iss Suppl 1, p O20 (2010)
Externí odkaz:
https://doaj.org/article/d094730c1fa1464f8717a104fdacf957
Autor:
Boëlle Pierre-Yves, Viviani Laura, Busson Pierre-Francois, Olesen Hanne V, Ravilly Sophie, Stern Martin, Assael Baroukh M, Barreto Celeste, Drevinek Pavel, Thomas Muriel, Krivec Uros, Mei-Zahav Meir, Vibert Jean-François, Clement Annick, Mehta Anil, Corvol Harriet
Publikováno v:
Orphanet Journal of Rare Diseases, Vol 7, Iss 1, p 64 (2012)
Abstract Background The clinical course of Cystic Fibrosis (CF) is usually measured using the percent predicted FEV1 and BMI Z-score referenced against a healthy population, since achieving normality is the ultimate goal of CF care. Referencing again
Externí odkaz:
https://doaj.org/article/919af9649c5544c994e236926cd0db5b
Autor:
McCormick Jonathan, MacFadyen Una, Leece Richard, Hunt Gerard, Duncan Andrew, Cunningham Jason, Corrigan Donna, Bell Claire, Aniruddhan Krishnan, Adams Tim, Cunningham Steve, Palmer Colin N, Mehta Gita, Mehta Anil, Macfarlane Tatiana V, Ayres Jon G, Turner Stephen W, McLeish Sally, Mitra Andrew, Miller Deborah, Waxman Elizabeth, Webb Alan, Wojcik Slawomir, Mukhopadhyay Somnath, Macgregor Donald
Publikováno v:
BMC Medical Research Methodology, Vol 10, Iss 1, p 107 (2010)
Abstract Background Gene-environment interactions are likely to explain some of the heterogeneity in childhood asthma. Here, we describe the methodology and experiences in establishing a database for childhood asthma designed to study gene-environmen
Externí odkaz:
https://doaj.org/article/5b9e541ccf464e35aed3661ffa16a0ce
Publikováno v:
(IJACSA) International Journal of Advanced Computer Science and Applications, Vol. 6, No. 11, 2015
Data Mining is best-known for its analytical and prediction capabilities. It is used in several areas such as fraud detection, predicting client behavior, money market behavior, bankruptcy prediction. It can also help in establishing an educational e
Externí odkaz:
http://arxiv.org/abs/1708.02940
Publikováno v:
International Journal of Computer Applications 110(15):60-68, January 2015
In this era of computerization, education has also revamped itself and is not limited to old lecture method. The regular quest is on to find out new ways to make it more effective and efficient for students. Nowadays, lots of data is collected in edu
Externí odkaz:
http://arxiv.org/abs/1509.05176
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