Deep Data Analysis of Conductive Phenomena on Complex Oxide Interfaces: Physics from Data Mining

ACS Nano ◽  
2014 ◽  
Vol 8 (6) ◽  
pp. 6449-6457 ◽  
Author(s):  
Evgheni Strelcov ◽  
Alexei Belianinov ◽  
Ying-Hui Hsieh ◽  
Stephen Jesse ◽  
Arthur P. Baddorf ◽  
...  
2018 ◽  
Vol 3 (1) ◽  
pp. 001
Author(s):  
Zulhendra Zulhendra ◽  
Gunadi Widi Nurcahyo ◽  
Julius Santony

In this study using Data Mining, namely K-Means Clustering. Data Mining can be used in searching for a large enough data analysis that aims to enable Indocomputer to know and classify service data based on customer complaints using Weka Software. In this study using the algorithm K-Means Clustering to predict or classify complaints about hardware damage on Payakumbuh Indocomputer. And can find out the data of Laptop brands most do service on Indocomputer Payakumbuh as one of the recommendations to consumers for the selection of Laptops.


2014 ◽  
Vol 113 (18) ◽  
Author(s):  
Juan Salafranca ◽  
Julián Rincón ◽  
Javier Tornos ◽  
Carlos León ◽  
Jacobo Santamaria ◽  
...  

Nano Letters ◽  
2021 ◽  
Author(s):  
Bethany E. Matthews ◽  
Michel Sassi ◽  
Christopher Barr ◽  
Colin Ophus ◽  
Tiffany C. Kaspar ◽  
...  

2015 ◽  
Vol 6 (1) ◽  
Author(s):  
Steven R. Spurgeon ◽  
Prasanna V. Balachandran ◽  
Despoina M. Kepaptsoglou ◽  
Anoop R. Damodaran ◽  
J. Karthik ◽  
...  

2021 ◽  
Author(s):  
Scott A. Jarmusch ◽  
Justin J. J. van der Hooft ◽  
Pieter C. Dorrestein ◽  
Alan K. Jarmusch

This review covers the current and potential use of mass spectrometry-based metabolomics data mining in natural products. Public data, metadata, databases and data analysis tools are critical. The value and success of data mining rely on community participation.


Author(s):  
Satoshi Okamoto ◽  
Shuai Dong ◽  
Elbio Dagotto

Sign in / Sign up

Export Citation Format

Share Document