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Volumn , Issue , 2010, Pages 449-460

The model-summary problem and a solution for trees

Author keywords

[No Author keywords available]

Indexed keywords

DATA MANAGEMENT; DATA MINING MODELS; DATA SETS; DATA SPACE; DATABASE COMMUNITY; EXPLORATORY ANALYSIS; HIGH-DIMENSIONAL; INPUT VARIABLES; MODERN SCIENCE; MULTIPLE LEVELS; NATURAL PROCESS; NOVEL TECHNIQUES; ORDERS OF MAGNITUDE; PARALLEL IMPLEMENTATIONS; SCALABLE IMPLEMENTATION; SCIENTIFIC BREAKTHROUGH; TREE-BASED MODEL;

EID: 77952774392     PISSN: 10844627     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICDE.2010.5447912     Document Type: Conference Paper
Times cited : (7)

References (26)
  • 2
    • 65449130495 scopus 로고    scopus 로고
    • Automatic identification of quasi-experimental designs for discovering causal knowledge
    • D. Jensen, A. S. Fast, B. J. Taylor, and M. E. Maier, "Automatic identification of quasi-experimental designs for discovering causal knowledge," in KDD, 2008, pp. 372-380.
    • (2008) KDD , pp. 372-380
    • Jensen, D.1    Fast, A.S.2    Taylor, B.J.3    Maier, M.E.4
  • 3
    • 48249133952 scopus 로고    scopus 로고
    • Data-mining discovery of pattern and process in ecological systems
    • W. M. Hochachka et al., "Data-mining discovery of pattern and process in ecological systems," Journal of Wildlife Management, vol. 71(7), pp. 2427-2437, 2006.
    • (2006) Journal of Wildlife Management , vol.71 , Issue.7 , pp. 2427-2437
    • Hochachka, W.M.1
  • 4
    • 57149138994 scopus 로고    scopus 로고
    • Querying continuous functions in a database system
    • A. Thiagarajan and S. Madden, "Querying continuous functions in a database system," in SIGMOD, 2008, pp. 791-804.
    • (2008) SIGMOD , pp. 791-804
    • Thiagarajan, A.1    Madden, S.2
  • 5
    • 0035470889 scopus 로고    scopus 로고
    • Greedy function approximation: A gradient boosting machine
    • J. H. Friedman, "Greedy function approximation: A gradient boosting machine," Annals of Statistics, vol. 29, pp. 1189-1232, 2001.
    • (2001) Annals of Statistics , vol.29 , pp. 1189-1232
    • Friedman, J.H.1
  • 7
    • 77956888636 scopus 로고
    • A kernel method of estimating structured nonparametric regression based on marginal integration
    • O. Linton and J. P. Nielsen, "A kernel method of estimating structured nonparametric regression based on marginal integration," Biometrika, vol. 82(1), pp. 93-100, 1995.
    • (1995) Biometrika , vol.82 , Issue.1 , pp. 93-100
    • Linton, O.1    Nielsen, J.P.2
  • 9
    • 34250744208 scopus 로고    scopus 로고
    • An empirical comparison of supervised learning algorithms
    • R. Caruana and A. Niculescu-Mizil, "An empirical comparison of supervised learning algorithms," in Proc ICML, 2006, pp. 161-168.
    • Proc ICML, 2006 , pp. 161-168
    • Caruana, R.1    Niculescu-Mizil, A.2
  • 11
    • 0030211964 scopus 로고    scopus 로고
    • Bagging predictors
    • L. Breiman, "Bagging predictors," Machine Learning, vol. 24, pp. 123-140, 1996.
    • (1996) Machine Learning , vol.24 , pp. 123-140
    • Breiman, L.1
  • 13
    • 0035478854 scopus 로고    scopus 로고
    • Random forests
    • L. Breiman, "Random forests," Machine Learning, vol. 45, pp. 5-32, 2001.
    • (2001) Machine Learning , vol.45 , pp. 5-32
    • Breiman, L.1
  • 15
    • 37549003336 scopus 로고    scopus 로고
    • Mapreduce: Simplified data processing on large clusters
    • J. Dean and S. Ghemawat, "Mapreduce: simplified data processing on large clusters," Commun. ACM, vol. 51, no. 1, pp. 107-113, 2008.
    • (2008) Commun. ACM , vol.51 , Issue.1 , pp. 107-113
    • Dean, J.1    Ghemawat, S.2
  • 17
    • 0344811122 scopus 로고    scopus 로고
    • An overview of data warehousing and OLAP technology
    • S. Chaudhuri and U. Dayal, "An overview of data warehousing and OLAP technology," SIGMOD Record, vol. 26, no. 1, pp. 65-74, 1997.
    • (1997) SIGMOD Record , vol.26 , Issue.1 , pp. 65-74
    • Chaudhuri, S.1    Dayal, U.2
  • 19
    • 44649157188 scopus 로고    scopus 로고
    • Using dependence diagrams to summarize decision rule sets
    • K. Karimi and H. J. Hamilton, "Using dependence diagrams to summarize decision rule sets," in Advances in AI, vol. 5032, 2008, pp. 163-172.
    • (2008) Advances in AI , vol.5032 , pp. 163-172
    • Karimi, K.1    Hamilton, H.J.2
  • 23
    • 34247346862 scopus 로고    scopus 로고
    • Mauvedb: Supporting model-based user views in database systems
    • A. Deshpande and S. Madden, "Mauvedb: Supporting model-based user views in database systems," in SIGMOD, 2006, pp. 73-84.
    • (2006) SIGMOD , pp. 73-84
    • Deshpande, A.1    Madden, S.2
  • 24
    • 70349814693 scopus 로고    scopus 로고
    • Exploiting shared correlations in probabilistic databases
    • P. Sen, A. Deshpande, and L. Getoor, "Exploiting shared correlations in probabilistic databases," PVLDB, vol. 1, no. 1, pp. 809-820, 2008.
    • (2008) PVLDB , vol.1 , Issue.1 , pp. 809-820
    • Sen, P.1    Deshpande, A.2    Getoor, L.3
  • 25
    • 0023977778 scopus 로고
    • Multiple-query optimization
    • T. K. Sellis, "Multiple-query optimization," ACM TODS, vol. 13(1), pp. 23-52, 1988.
    • (1988) ACM TODS , vol.13 , Issue.1 , pp. 23-52
    • Sellis, T.K.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.