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Volumn , Issue , 2009, Pages 346-351

Speedpath analysis based on hypothesis pruning and ranking

Author keywords

Data mining; Speedpath; Timing analysis

Indexed keywords

COMPUTER AIDED DESIGN; ECONOMIC AND SOCIAL EFFECTS;

EID: 70350707908     PISSN: 0738100X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1629911.1630005     Document Type: Conference Paper
Times cited : (12)

References (12)
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    • L. Lee, et al. "On Silicon-Based Speed Path Identification," Proc. VTS, 2005.
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    • Lee, L.1
  • 2
    • 51549088664 scopus 로고    scopus 로고
    • Speedpath prediction based on learning from a small set of examples
    • P. Bastani, K. Killpack, L.-C. Wang, and E. Chiprout. "Speedpath prediction based on learning from a small set of examples," Proc. DAC, 2008.
    • (2008) Proc. DAC
    • Bastani, P.1    Killpack, K.2    Wang, L.-C.3    Chiprout, E.4
  • 3
    • 34547245531 scopus 로고    scopus 로고
    • Silicon Speedpath Measurement and Feedback into EDA flows
    • K. Killpack, C. Kashyap, E. Chiprout, "Silicon Speedpath Measurement and Feedback into EDA flows," Proc. DAC, 2007.
    • (2007) Proc. DAC
    • Killpack, K.1    Kashyap, C.2    Chiprout, E.3
  • 5
    • 51549086809 scopus 로고    scopus 로고
    • Statistical diagnosis of unmodeled systematic timing effects
    • P. Bastani, N. Callegari, L. Wang, and M. Abadir. "Statistical diagnosis of unmodeled systematic timing effects," Proc. DAC, 2008.
    • (2008) Proc. DAC
    • Bastani, P.1    Callegari, N.2    Wang, L.3    Abadir, M.4
  • 6
    • 0042823817 scopus 로고    scopus 로고
    • Association Rule Mining, Models and Algorithms
    • Springer
    • Chengqi Zhang and Shichao Zhang. "Association Rule Mining, Models and Algorithms," Lecture Notes in Computer Science Vol. 2307, Springer 2002.
    • (2002) Lecture Notes in Computer Science , vol.2307
    • Zhang, C.1    Zhang, S.2
  • 7
    • 0031162961 scopus 로고    scopus 로고
    • Dynamic itemset counting and implication rules for market basket data
    • S. Brin, R. Motwani, et al. "Dynamic itemset counting and implication rules for market basket data," Proc. ACM SIGMOD, 1997, pp. 255-264.
    • (1997) Proc. ACM SIGMOD , pp. 255-264
    • Brin, S.1    Motwani, R.2
  • 8
    • 70350742126 scopus 로고    scopus 로고
    • D. Barton, P. Tangyunyong, J. Soden, A. Liang, and e. a. F. Low. Infrared light emission from semiconductor devices, ISTFA Proc., 1996.
    • D. Barton, P. Tangyunyong, J. Soden, A. Liang, and e. a. F. Low. "Infrared light emission from semiconductor devices," ISTFA Proc., 1996.
  • 9
    • 0027621699 scopus 로고
    • Mining association rules between sets of items in large databases
    • R. Agrawal, T. Imielinksi, and A. Swami. "Mining association rules between sets of items in large databases," Proc. ACM SIGMOID, 1993, pp. 207-216.
    • (1993) Proc. ACM SIGMOID , pp. 207-216
    • Agrawal, R.1    Imielinksi, T.2    Swami, A.3
  • 11
    • 27144468394 scopus 로고    scopus 로고
    • H. Mannila, et al. Discovery of Frequent Episodes in Event Sequences, Data Mining and Knowledge Discovery, 1, (3), 1997, pp. 259-289.
    • H. Mannila, et al. Discovery of Frequent Episodes in Event Sequences," Data Mining and Knowledge Discovery, Vol 1, (3), 1997, pp. 259-289.
  • 12
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    • Meaningful discretization of continuous features for association rules mining by means of a som
    • M. Vannucci and V. Colla. "Meaningful discretization of continuous features for association rules mining by means of a som," ESANN, 2004, pp. 489-494.
    • (2004) ESANN , pp. 489-494
    • Vannucci, M.1    Colla, V.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.