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Volumn 11, Issue 1, 2013, Pages 30-46

Hazy: Making it Easierto Build and Maintain Big-data Analytics

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EID: 84897750311     PISSN: 15427730     EISSN: 15427749     Source Type: Journal    
DOI: 10.1145/2428616.2431055     Document Type: Article
Times cited : (12)

References (21)
  • 3
    • 65249134854 scopus 로고    scopus 로고
    • Two “well-known” properties of subgradient optimization
    • Anstreicher, K. M., Wolsey, L. A. 2009. Two “well-known” properties of subgradient optimization. Mathematical Programming 120(1): 213–220.
    • (2009) Mathematical Programming , vol.120 , Issue.1 , pp. 213-220
    • Anstreicher, K.M.1    Wolsey, L.A.2
  • 4
    • 84870749286 scopus 로고    scopus 로고
    • Apache Mahout; http://mahout.apache.org/.
    • Apache Mahout
  • 14
    • 83055176154 scopus 로고    scopus 로고
    • Tuffy: Scaling up statistical inference in Markov logic networks using an RDBMS
    • Niu, F., Re, C., Doan, A., Shavlik, J. 2011. Tuffy: Scaling up statistical inference in Markov logic networks using an RDBMS. In VLDB (Very Large Databases).
    • (2011) VLDB (Very Large Databases).
    • Niu, F.1    Re, C.2    Doan, A.3    Shavlik, J.4
  • 17
    • 84861049023 scopus 로고    scopus 로고
    • Parallel stochastic gradient algorithms for large-scale matrix completion
    • Recht, B., Re, C. 2011. Parallel stochastic gradient algorithms for large-scale matrix completion. In Optimization Online.
    • (2011) Optimization Online.
    • Recht, B.1    Re, C.2
  • 19
    • 0004267646 scopus 로고    scopus 로고
    • (Princeton Landmarks in Mathematics and Physics). Princeton University Press
    • Rockafellar, R. T. 1996. Convex Analysis (Princeton Landmarks in Mathematics and Physics). Princeton University Press.
    • (1996) Convex Analysis
    • Rockafellar, R.T.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.