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Volumn , Issue , 2004, Pages 129-134

A data mining project for solving low-yield situations of semiconductor manufacturing

Author keywords

Data Mining; Engineering Data Analysis; Failure Analysis; Knowledge Discovery; Yield Enhancement

Indexed keywords

DATA MINING; DATA REDUCTION; FAILURE ANALYSIS; MATRIX ALGEBRA; SEMICONDUCTOR DEVICES; STATISTICAL METHODS;

EID: 4544248352     PISSN: 1523553X     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (14)

References (7)
  • 1
    • 0027621699 scopus 로고
    • Mining association rules between sets of items in large database
    • May
    • R. Agrawal, T. Imielinski and A. Swami. "Mining association rules between sets of items in large database," ACM SIGMOD Conference, pp. 207-216, May 1993.
    • (1993) ACM SIGMOD Conference , pp. 207-216
    • Agrawal, R.1    Imielinski, T.2    Swami, A.3
  • 2
    • 0001882616 scopus 로고
    • Fast algorithm for mining association rules
    • Sept.
    • R. Agrawl and R. Srikant. "Fast Algorithm for Mining Association rules," ACM VLDB Conference, pp. 487-499, Sept. 1994.
    • (1994) ACM VLDB Conference , pp. 487-499
    • Agrawl, R.1    Srikant, R.2
  • 4
    • 4544281972 scopus 로고    scopus 로고
    • Data mining solves tough semiconductor manufacturing problems
    • Boson, USA
    • M. Gardner and J. Bieker "Data Mining Solves Tough Semiconductor Manufacturing Problems," ACM KDD Conference, Boson, USA, 2000.
    • (2000) ACM KDD Conference
    • Gardner, M.1    Bieker, J.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.