Title :
Atom Probe Data Mining
Author_Institution :
Div. of Mater. Sci. & Technol., Oak Ridge Nat. Lab., TN
Abstract :
This paper presents efficient data mining methods which can extract quantitative estimates. Some approaches to data mining and information management are discussed
Keywords :
Guinier-Preston zones; computerised instrumentation; data acquisition; data mining; data visualisation; database management systems; information management; interface roughness; segregation; spinodal decomposition; GP zones; atom probe data mining; data acquisition; database management; dislocations; information management; interfacial excess roughness; morphology; number density; phase composition; precipitates; quantitative estimates; reconstruction; solute concentration; solute distribution clustering; solute segregation; spatial distribution function; spinodal decomposition; visualization; volume fraction; Data acquisition; Data mining; Electrodes; Instruments; Laboratories; Microscopy; Morphology; Probes; Tomography; Visual databases;
Conference_Titel :
Vacuum Nanoelectronics Conference, 2006 and the 2006 50th International Field Emission Symposium., IVNC/IFES 2006. Technical Digest. 19th International
Conference_Location :
Guilin
Print_ISBN :
1-4244-0401-0
DOI :
10.1109/IVNC.2006.335315
