Study on condition setting of micro-drill catalogs for PCBs by using data-mining method

2016 ◽  
Vol 2016.11 (0) ◽  
pp. B05
Author(s):  
Shogo TABATA ◽  
Toshiki HIROGAKI ◽  
Eiichi AOYAMA ◽  
Hiroyuki KODAMA
Keyword(s):  
Data Mining ◽  
Mining Method ◽  
Data Mining Method ◽  
Using Data ◽  
Micro Drill

P004 A study on catalog data of micro-drill by using data-mining method

2016 ◽  
Vol 2016.91 (0) ◽  
pp. 380
Author(s):  
Shogo TABATA ◽  
Yoshimasa SUZUKI ◽  
Hiroyuki Eiichi AOYAMA ◽  
Toshiki HIROGAKI
Keyword(s):  
Data Mining ◽  
Mining Method ◽  
Data Mining Method ◽  
Using Data ◽  
Micro Drill

scholarly journals Using Data Mining Algorithms to Discover Regular Sound Changes among Languages

2019 ◽  
Vol 292 ◽  
pp. 03018
Author(s):  
Peter Z. Revesz
Keyword(s):  
Data Mining ◽  
Association Rule ◽  
Sound Change ◽  
Mining Method ◽  
Data Mining Method ◽  
Data Mining Algorithms ◽  
Sound Changes ◽  
Using Data ◽  
Mining Algorithms

This paper presents a method of using association rule data mining algorithms to discover regular sound changes among languages. The method presented has a great potential to facilitate linguistic studies aimed at identifying distantly related cognate languages. As an experimental example, this paper presents the application of the data mining method to the discovery of regular sound changes between the Hungarian and the Sumerian languages, which separated at least five thousand years ago when the Proto-Sumerian reached Mesopotamia. The data mining method discovered an important regular sound change between Hungarian word initial /f/ and Sumerian word initial /b/ phonemes.

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