scholarly journals WebPut: Efficient Web-Based Data Imputation

Author(s):  
Zhixu Li ◽  
Mohamed A. Sharaf ◽  
Laurianne Sitbon ◽  
Shazia Sadiq ◽  
Marta Indulska ◽  
...  
Keyword(s):  
Author(s):  
Yiwen Tang ◽  
Hongzhi Wang ◽  
Shiwei Zhang ◽  
Huijun Zhang ◽  
Ruoxi Shi

Author(s):  
Binbin Gu ◽  
Zhixu Li ◽  
An Liu ◽  
Jiajie Xu ◽  
Lei Zhao ◽  
...  
Keyword(s):  

2018 ◽  
Vol 12 (6) ◽  
pp. 1125-1139
Author(s):  
Hailong Liu ◽  
Zhanhuai Li ◽  
Qun Chen ◽  
Zhaoqiang Chen

2016 ◽  
Vol 355-356 ◽  
pp. 152-168 ◽  
Author(s):  
Zhaoqiang Chen ◽  
Qun Chen ◽  
Jiajun Li ◽  
Zhanhuai Li ◽  
Lei Chen

2013 ◽  
Vol 17 (5) ◽  
pp. 873-897 ◽  
Author(s):  
Zhixu Li ◽  
Mohamed A. Sharaf ◽  
Laurianne Sitbon ◽  
Shazia Sadiq ◽  
Marta Indulska ◽  
...  
Keyword(s):  

1998 ◽  
Vol 62 (9) ◽  
pp. 671-674
Author(s):  
JF Chaves ◽  
JA Chaves ◽  
MS Lantz
Keyword(s):  

2013 ◽  
Vol 23 (3) ◽  
pp. 82-87 ◽  
Author(s):  
Eva van Leer

Mobile tools are increasingly available to help individuals monitor their progress toward health behavior goals. Commonly known commercial products for health and fitness self-monitoring include wearable devices such as the Fitbit© and Nike + Pedometer© that work independently or in conjunction with mobile platforms (e.g., smartphones, media players) as well as web-based interfaces. These tools track and graph exercise behavior, provide motivational messages, offer health-related information, and allow users to share their accomplishments via social media. Approximately 2 million software programs or “apps” have been designed for mobile platforms (Pure Oxygen Mobile, 2013), many of which are health-related. The development of mobile health devices and applications is advancing so quickly that the Food and Drug Administration issued a Guidance statement with the purpose of defining mobile medical applications and describing a tailored approach to their regulation.


2008 ◽  
Vol 41 (8) ◽  
pp. 23
Author(s):  
MITCHEL L. ZOLER
Keyword(s):  

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