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Volumn 56, Issue 12, 2013, Pages 64-73

Data science and prediction

Author keywords

[No Author keywords available]

Indexed keywords

ANALYSIS OF DATA; COMPLEX THEORY; KNOWLEDGE CREATIONS; KNOWLEDGE DISCOVERY IN DATABASE; PREDICTIVE ACCURACY; PREDICTIVE MODELS; SPARSER MODELS; SYSTEMATIC STUDY;

EID: 84888424872     PISSN: 00010782     EISSN: 15577317     Source Type: Journal    
DOI: 10.1145/2500499     Document Type: Article
Times cited : (642)

References (32)
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    • A comparison of nonlinear models for financial prediction
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    • D har, V. and Chou, D. A comparison of nonlinear models for financial prediction. IEEE Transactions on Neural Networks 12, 4 (June 2001), 907-921.
    • (2001) IEEE Transactions on Neural Networks , vol.12 , Issue.4 , pp. 907-921
    • Dhar, V.1    Chou, D.2
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    • 84973302257 scopus 로고    scopus 로고
    • A more perfect union: How President Obamas campaign used big data to rally individual voters
    • Dec. 2012
    • Issenberg, S. A more perfect union: How President Obamas campaign used big data to rally individual voters. MIT Technology Review (Dec. 2012).
    • MIT Technology Review
    • Issenberg, S.1
  • 18
    • 84888421992 scopus 로고    scopus 로고
    • Comparative effectiveness for oral anti-diabetic treatments among newly diagnosed Type 2 diabetics: Data-driven predictive analytics in healthcare
    • M aguire, J. and Dhar, V. Comparative effectiveness for oral anti-diabetic treatments among newly diagnosed Type 2 diabetics: Data-driven predictive analytics in healthcare. Health Systems 2 (2013), 73-92.
    • (2013) Health Systems , vol.2 , pp. 73-92
    • Maguire, J.1    Dhar, V.2
  • 23
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    • Tree induction vs. Logistic regression: A learning-curve analysis
    • Perlich, C., Provost, F., and Simonoff, J. Tree induction vs. logistic regression: A learning-curve analysis. Journal of Machine Learning Research 4, 12 (2003), 211-255.
    • (2003) Journal of Machine Learning Research , vol.4 , Issue.12 , pp. 211-255
    • Perlich, C.1    Provost, F.2    Simonoff, J.3
  • 27
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    • To explain or to predict?
    • Aug. 2010
    • S hmueli, G. To explain or to predict? Statistical Science 25, 3 (Aug. 2010), 289-310.
    • Statistical Science , vol.25 , Issue.3 , pp. 289-310
    • Shmueli, G.1
  • 28
    • 49549136319 scopus 로고
    • The understanding process: Problem isomorphs
    • Apr
    • S imon, H.A. and Hayes, J.R. The understanding process: Problem isomorphs. Cognitive Psychology 8, 2 (Apr. 1976), 165-190.
    • (1976) Cognitive Psychology , vol.8 , Issue.2 , pp. 165-190
    • Simon, H.A.1    Hayes, J.R.2
  • 29
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    • Oxford University Press, Oxford, U.K
    • S loman, S. Causal Models. Oxford University Press, Oxford, U.K. 2005.
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  • 32
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    • Computational thinking
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    • W ing, J. Computational thinking. Commun. ACM 49, 3 (Mar. 2006), 33-35.
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    • Wing, J.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.