Privacy-Preserving Statistical Analysis Method by Splitting Server Roles for Distributed Real-World Data

2014 ◽  
Vol E97.B (9) ◽  
pp. 1779-1789
Author(s):  
Jun ISHII ◽  
Hiroyuki MAEOMICHI ◽  
Akihiro TSUTSUI ◽  
Ikuo YODA
1996 ◽  
Vol 11 (4) ◽  
pp. 365-371 ◽  
Author(s):  
Xiaohui Liu

Two phenomena have probably affected modern data analysts' lives more than anything else. First, the size of real-world data sets is getting increasingly large, especially during the last decade or so. Second, modern computational methods and tools are being developed which add further capability to traditional statistical analysis tools. These two developments have created a new range of problems and challenges for analysts, as well as new opportunities for intelligent systems in data analysis.


2016 ◽  
Vol 37 (1) ◽  
Author(s):  
Vaidas Balys ◽  
Rimantas Rudzkis

The problem of classification of scientific texts is considered. Models and methods based on probabilistic distributions of scientific terms in text are discussed. The comparative study of proposed and a few of popular alternative algorithms was performed. The results of experimental study over real-world data are reported.


2016 ◽  
Vol 22 ◽  
pp. 219
Author(s):  
Roberto Salvatori ◽  
Olga Gambetti ◽  
Whitney Woodmansee ◽  
David Cox ◽  
Beloo Mirakhur ◽  
...  

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