scholarly journals Online Data Fusion Using Incremental Tensor Learning

Author(s):  
Nguyen Lu Dang Khoa ◽  
Hongda Tian ◽  
Yang Wang ◽  
Fang Chen
Keyword(s):  
2011 ◽  
Vol 4 (11) ◽  
pp. 932-943 ◽  
Author(s):  
Xuan Liu ◽  
Xin Luna Dong ◽  
Beng Chin Ooi ◽  
Divesh Srivastava
Keyword(s):  

1995 ◽  
Vol 6 (1) ◽  
pp. 227-236 ◽  
Author(s):  
X. E. Gros ◽  
P. Strachan ◽  
D. W. Lowden
Keyword(s):  

2020 ◽  
Vol 41 (1) ◽  
pp. 30-36
Author(s):  
Steven V. Rouse

Abstract. Previous research has supported the use of Amazon’s Mechanical Turk (MTurk) for online data collection in individual differences research. Although MTurk Masters have reached an elite status because of strong approval ratings on previous tasks (and therefore gain higher payment for their work) no research has empirically examined whether researchers actually obtain higher quality data when they require that their MTurk Workers have Master status. In two different online survey studies (one using a personality test and one using a cognitive abilities test), the psychometric reliability of MTurk data was compared between a sample that required a Master qualification type and a sample that placed no status-level qualification requirement. In both studies, the Master samples failed to outperform the standard samples.


2004 ◽  
Author(s):  
Geoffrey B. Duggan ◽  
Simon Banbury ◽  
Andrew Howes ◽  
John Patrick ◽  
Samuel M. Waldron

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