G Data

Results: 4547



#Item
1GraPhys: Understanding Health Care Insurance Data through Graph Analytics. Luis G. Moyano, Ana Paula Appel, Vagner F. de Santana, Marcia Ito, Thiago D. dos Santos IBM Research, Brazil

GraPhys: Understanding Health Care Insurance Data through Graph Analytics. Luis G. Moyano, Ana Paula Appel, Vagner F. de Santana, Marcia Ito, Thiago D. dos Santos IBM Research, Brazil

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Source URL: gdac.uqam.ca

Language: English - Date: 2017-10-04 00:29:39
2Do Humans Suffer a Psychological Low in Midlife? Two Approaches (With and Without Controls) in Seven Data Sets August 2017 David G. Blanchflower Dartmouth College, Stirling, NBER and IZA

Do Humans Suffer a Psychological Low in Midlife? Two Approaches (With and Without Controls) in Seven Data Sets August 2017 David G. Blanchflower Dartmouth College, Stirling, NBER and IZA

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Source URL: www.andrewoswald.com

Language: English - Date: 2017-08-25 09:39:41
    3CASE STUDY PRIVATE MARKETPLACE – GUARANTEED (PMP-G) For advertisers and publishers looking for the scale and data advantages of the open market, with the predictability and brand safety of direct sold campaigns, Priva

    CASE STUDY PRIVATE MARKETPLACE – GUARANTEED (PMP-G) For advertisers and publishers looking for the scale and data advantages of the open market, with the predictability and brand safety of direct sold campaigns, Priva

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    Source URL: pubmatic.com

    Language: English - Date: 2018-06-18 15:20:01
      4IRUS-UK USE CASE Facilitating benchmarking Being able to benchmark institutional repository statistics is valuable, both with your own data (e.g. to look at trends), and with other institutions (e.g. to allow comparisons

      IRUS-UK USE CASE Facilitating benchmarking Being able to benchmark institutional repository statistics is valuable, both with your own data (e.g. to look at trends), and with other institutions (e.g. to allow comparisons

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      Source URL: irus.mimas.ac.uk

      Language: English - Date: 2017-05-19 06:43:25
        5Citation: C. Patrignani et al. (Particle Data Group), Chin. Phys. C, 40, and 2017 update I G (J PC ) = 1+ (1 − − ) ρ(1900)

        Citation: C. Patrignani et al. (Particle Data Group), Chin. Phys. C, 40, and 2017 update I G (J PC ) = 1+ (1 − − ) ρ(1900)

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        Source URL: pdg.arsip.lipi.go.id

        Language: English
          6Citation: C. Patrignani et al. (Particle Data Group), Chin. Phys. C, 40, and 2017 update I G (J PC ) = 0+ (2 + + ) f2(1270)

          Citation: C. Patrignani et al. (Particle Data Group), Chin. Phys. C, 40, and 2017 update I G (J PC ) = 0+ (2 + + ) f2(1270)

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          Source URL: pdg.arsip.lipi.go.id

          Language: English - Date: 2017-05-30 20:20:47
            7Visualizing Dynamic Data with Maps Daisuke Mashima∗ Stephen G. Kobourov† Yifan Hu‡

            Visualizing Dynamic Data with Maps Daisuke Mashima∗ Stephen G. Kobourov† Yifan Hu‡

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            Source URL: yifanhu.net

            Language: English - Date: 2010-12-09 10:44:26
              8How Many People Do You Know in Prison?: Using Overdispersion in Count Data to Estimate Social Structure in Networks Tian Z HENG, Matthew J. S ALGANIK, and Andrew G ELMAN Networks—sets of objects connected by relationsh

              How Many People Do You Know in Prison?: Using Overdispersion in Count Data to Estimate Social Structure in Networks Tian Z HENG, Matthew J. S ALGANIK, and Andrew G ELMAN Networks—sets of objects connected by relationsh

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              Source URL: nersp.osg.ufl.edu

              Language: English - Date: 2013-06-06 11:10:15
                9NETTAB 2006 – S. Margherita di Pula, 10-13 luglioModeling Gene Expression Data via Positive Boolean Functions F. Ruffino1, M. Muselli2 and G.Valentini1

                NETTAB 2006 – S. Margherita di Pula, 10-13 luglioModeling Gene Expression Data via Positive Boolean Functions F. Ruffino1, M. Muselli2 and G.Valentini1

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                Source URL: www.nettab.org

                Language: English - Date: 2006-07-26 06:05:39
                  10DSO concerns on Key Organisational Requirements, Roles and Responsibilities (KORRR) on data exchange 11 June 2018 Introduction The KORRR methodology proposal, following the implementation of Guideline System Operation (G

                  DSO concerns on Key Organisational Requirements, Roles and Responsibilities (KORRR) on data exchange 11 June 2018 Introduction The KORRR methodology proposal, following the implementation of Guideline System Operation (G

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                  Source URL: www.geode-eu.org

                  Language: English - Date: 2018-06-08 11:43:46