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Dr. N.J. van Eck

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  • Bibliometric Mapping of the Computational Intelligence Field (2008)Open access

    Authors:Eck, van N.J.P. (Nees Jan); Waltman, L. (Ludo)
    In:ERIM report series research in management Erasmus Research Institute of Management. Erasmus Research Institute of Management (ERIM), Erasmus University Rotterdam (ERIM is the joint researchinstitute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam). ISSN 1566-5283.

    Abstract:

    In this paper, a bibliometric study of the computational intelligence field is presented. Bibliometric maps showing the associations between the main concepts in the field are provided for the periods 1996–2000 and 2001–2005. Both the current structure of the field and the evolution of the field ove

  • Appropriate Similarity Measures for Author Cocitation Analysis (2007)Open access

    Authors:Eck, van N.J.P. (Nees Jan); Waltman, L. (Ludo)
    In:ERIM report series research in management Erasmus Research Institute of Management. Erasmus Research Institute of Management (ERIM), Erasmus University Rotterdam (ERIM is the joint researchinstitute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam). ISSN 1566-5283.

    Abstract:

    We provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures

  • Bibliometric Mapping of the Computational Intelligence Field (2007)Open access

    Authors:Eck, van N.J.P. (Nees Jan); Waltman, L. (Ludo)
    In:ERIM report series research in management Erasmus Research Institute of Management. Rotterdam School of Management (RSM) Erasmus University, Erasmus Research Institute of Management (ERIM). ISSN 1566-5283.

    Abstract:

    In this paper, a bibliometric study of the computational intelligence field is presented. Bibliometric maps showing the associations between the main concepts in the field are provided for the periods 1996–2000 and 2001–2005. Both the current structure of the field and the evolution of the field ove

  • Some Comments on the Question Whether Co-occurrence Data Should Be Normalized (2007)Open access

    Authors:Waltman, L. (Ludo); Eck, van N.J.P. (Nees Jan)
    In:ERIM report series research in management Erasmus Research Institute of Management. Rotterdam School of Management (RSM) Erasmus University, Erasmus Research Institute of Management (ERIM). ISSN 1566-5283.

    Abstract:

    In a recent paper in the Journal of the American Society for Information Science and Technology, Leydesdorff and Vaughan assert that raw cocitation data should be analyzed directly, without first applying a normalization like the Pearson correlation. In this report, it is argued that there is nothin

  • VOS: A New Method for Visualizing Similarities between Objects (2006)Open access

    Authors:Eck, van N.J.P. (Nees Jan); Waltman, L. (Ludo)
    In:ERIM report series research in management Erasmus Research Institute of Management. Rotterdam School of Management (RSM) Erasmus University, Erasmus Research Institute of Management (ERIM). ISSN 1566-5283.

    Abstract:

    We present a new method for visualizing similarities between objects. The method is called VOS, which is an abbreviation for visualization of similarities. The aim of VOS is to provide a low-dimensional visualization in which objects are located in such a way that the distance between any pair of ob

  • Visualizing the Computational Intelligence Field (2006)Open access

    Authors:Waltman, L. (Ludo); Berg, van den J. (Jan); Kaymak, U. (Uzay); Eck, van N.J.P. (Nees Jan)
    In:I E E E Computational Intelligence Magazine. ISSN 1556-603x.

    Abstract:

    In this paper, we visualize the structure and the evolution of the computational intelligence (CI) field. Based on our visualizations, we analyze the way in which the CI field is divided into several subfields. The visualizations provide insight into the characteristics of each subfield and into the

  • Reinforcement learning and its application to Othello (2005)Open access

    Authors:Wezel, van M.C. (Michiel); Eck, van N.J.P. (Nees Jan)
    In:Report / Econometric Institute, Erasmus University Rotterdam. ISSN 1566-7294.

    Abstract:

    In this article we describe reinforcement learning, a machine learning technique for solving sequential decision problems. We describe how reinforcement learning can be combined with function approximation to get approximate solutions for problems with very large state spaces. One such problem is t

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