• DocumentCode
    2039905
  • Title

    Atom Probe Data Mining

  • Author

    Miller, M.K.

  • Author_Institution
    Div. of Mater. Sci. & Technol., Oak Ridge Nat. Lab., TN
  • fYear
    2006
  • fDate
    38899
  • Firstpage
    23
  • Lastpage
    24
  • 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;
  • fLanguage
    English
  • Publisher
    ieee
  • 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
  • Type

    conf

  • DOI
    10.1109/IVNC.2006.335315
  • Filename
    4134440
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2039905