Search (11 results, page 1 of 1)

  • × author_ss:"Egghe, L."
  1. Egghe, L.; Guns, R.; Rousseau, R.: Thoughts on uncitedness : Nobel laureates and Fields medalists as case studies (2011) 0.02
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    Field
    Mathematik
  2. Egghe, L.: Note on a possible decomposition of the h-Index (2013) 0.01
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    Date
    23. 3.2013 14:00:46
  3. Egghe, L.: ¬A good normalized impact and concentration measure (2014) 0.01
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    Date
    27. 9.2014 20:04:23
  4. Egghe, L.: On the law of Zipf-Mandelbrot for multi-word phrases (1999) 0.01
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    Date
    23. 2.1999 19:56:10
  5. Egghe, L.: Sampling and concentration values of incomplete bibliographies (2002) 0.00
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    Date
    23. 3.2002 9:43:41
  6. Egghe, L.: Mathematical study of h-index sequences (2009) 0.00
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    Date
    23. 1.2011 13:58:16
  7. Egghe, L.: Informetric explanation of some Leiden Ranking graphs (2014) 0.00
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    Abstract
    The S-shaped functional relation between the mean citation score and the proportion of top 10% publications for the 500 Leiden Ranking universities is explained using results of the shifted Lotka function. Also the concave or convex relation between the proportion of top 100?% publications, for different fractions ?, is explained using the obtained new informetric model.
  8. Egghe, L.: ¬A universal method of information retrieval evaluation : the "missing" link M and the universal IR surface (2004) 0.00
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    Abstract
    The paper shows that the present evaluation methods in information retrieval (basically recall R and precision P and in some cases fallout F ) lack universal comparability in the sense that their values depend on the generality of the IR problem. A solution is given by using all "parts" of the database, including the non-relevant documents and also the not-retrieved documents. It turns out that the solution is given by introducing the measure M being the fraction of the not-retrieved documents that are relevant (hence the "miss" measure). We prove that - independent of the IR problem or of the IR action - the quadruple (P,R,F,M) belongs to a universal IR surface, being the same for all IR-activities. This universality is then exploited by defining a new measure for evaluation in IR allowing for unbiased comparisons of all IR results. We also show that only using one, two or even three measures from the set {P,R,F,M} necessary leads to evaluation measures that are non-universal and hence not capable of comparing different IR situations.
    Date
    14. 8.2004 19:17:22
  9. Egghe, L.: Existence theorem of the quadruple (P, R, F, M) : precision, recall, fallout and miss (2007) 0.00
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    Abstract
    In an earlier paper [Egghe, L. (2004). A universal method of information retrieval evaluation: the "missing" link M and the universal IR surface. Information Processing and Management, 40, 21-30] we showed that, given an IR system, and if P denotes precision, R recall, F fallout and M miss (re-introduced in the paper mentioned above), we have the following relationship between P, R, F and M: P/(1-P)*(1-R)/R*F/(1-F)*(1-M)/M = 1. In this paper we prove the (more difficult) converse: given any four rational numbers in the interval ]0, 1[ satisfying the above equation, then there exists an IR system such that these four numbers (in any order) are the precision, recall, fallout and miss of this IR system. As a consequence we show that any three rational numbers in ]0, 1[ represent any three measures taken from precision, recall, fallout and miss of a certain IR system. We also show that this result is also true for two numbers instead of three.
  10. Egghe, L.; Guns, R.; Rousseau, R.; Leuven, K.U.: Erratum (2012) 0.00
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    Date
    14. 2.2012 12:53:22
  11. Egghe, L.; Rousseau, R.: Averaging and globalising quotients of informetric and scientometric data (1996) 0.00
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    Source
    Journal of information science. 22(1996) no.3, S.165-170