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  • × year_i:[2000 TO 2010}
  1. Ackermann, E.: Piaget's constructivism, Papert's constructionism : what's the difference? (2001) 0.13 
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    Content
    Vgl.: https://www.semanticscholar.org/paper/Piaget-%E2%80%99-s-Constructivism-%2C-Papert-%E2%80%99-s-%3A-What-%E2%80%99-s-Ackermann/89cbcc1e740a4591443ff4765a6ae8df0fdf5554. Darunter weitere Hinweise auf verwandte Beiträge. Auch unter: Learning Group Publication 5(2001) no.3, S.438.
  2. Ahlgren, P.; Jarneving, B.; Rousseau, R.: Requirements for a cocitation similarity measure, with special reference to Pearson's correlation coefficient (2003) 0.12 
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    Abstract
    Ahlgren, Jarneving, and. Rousseau review accepted procedures for author co-citation analysis first pointing out that since in the raw data matrix the row and column values are identical i,e, the co-citation count of two authors, there is no clear choice for diagonal values. They suggest the number of times an author has been co-cited with himself excluding self citation rather than the common treatment as zeros or as missing values. When the matrix is converted to a similarity matrix the normal procedure is to create a matrix of Pearson's r coefficients between data vectors. Ranking by r and by co-citation frequency and by intuition can easily yield three different orders. It would seem necessary that the adding of zeros to the matrix will not affect the value or the relative order of similarity measures but it is shown that this is not the case with Pearson's r. Using 913 bibliographic descriptions form the Web of Science of articles form JASIS and Scientometrics, authors names were extracted, edited and 12 information retrieval authors and 12 bibliometric authors each from the top 100 most cited were selected. Co-citation and r value (diagonal elements treated as missing) matrices were constructed, and then reconstructed in expanded form. Adding zeros can both change the r value and the ordering of the authors based upon that value. A chi-squared distance measure would not violate these requirements, nor would the cosine coefficient. It is also argued that co-citation data is ordinal data since there is no assurance of an absolute zero number of co-citations, and thus Pearson is not appropriate. The number of ties in co-citation data make the use of the Spearman rank order coefficient problematic.
    Date
    9. 7.2006 10:22:35
  3. Schrodt, R.: Tiefen und Untiefen im wissenschaftlichen Sprachgebrauch (2008) 0.11 
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    Content
    Vgl. auch: https://studylibde.com/doc/13053640/richard-schrodt. Vgl. auch: http%3A%2F%2Fwww.univie.ac.at%2FGermanistik%2Fschrodt%2Fvorlesung%2Fwissenschaftssprache.doc&usg=AOvVaw1lDLDR6NFf1W0-oC9mEUJf.
  4. Franken, R.: Unternehmensintelligenz? : Unternehmensführung und Wissen (2005) 0.11 
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    Date
    22. 2.2005 9:13:10
  5. Gödert, W.; Hubrich, J.; Boteram, F.: Thematische Recherche und Interoperabilität : Wege zur Optimierung des Zugriffs auf heterogen erschlossene Dokumente (2009) 0.10 
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    Source
    https://opus4.kobv.de/opus4-bib-info/frontdoor/index/index/searchtype/authorsearch/author/%22Hubrich%2C+Jessica%22/docId/703/start/0/rows/20
  6. Shen, R.; Wang, J.; Fox, E.A.: ¬A Lightweight Protocol between Digital Libraries and Visualization Systems (2002) 0.10 
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    Date
    22. 2.2003 17:25:39
    22. 2.2003 18:15:14
  7. Carey, K.; Stringer, R.: ¬The power of nine : a preliminary investigation into navigation strategies for the new library with special reference to disabled people (2000) 0.10 
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    Pages
    22 S
    Type
    r
  8. Schultz, U.: Descartes : Biografie (2001) 0.09 
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    Biographed
    Descartes, R.
    Footnote
    Rez. in: FR, Nr.125 vom 31.5.2001, S.22 (S. Hanuschek)
  9. Weber, R.: "Functional requirements for bibliographic records" und Regelwerksentwicklung (2001) 0.09 
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    Source
    Dialog mit Bibliotheken. 13(2001) H.3, S.20-22
  10. Buzin, R.: Eine Untersuchung zur Nutzer-Orientierung kartomedialer Atlanten (2001) 0.09 
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    Date
    26.11.2005 17:22:10
  11. Sperling, R.: Anlage von Literaturreferenzen für Onlineressourcen auf einer virtuellen Lernplattform (2004) 0.09 
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    Date
    26.11.2005 18:39:22
  12. Zheng, R.; Li, J.; Chen, H.; Huang, Z.: ¬A framework for authorship identification of online messages : writing-style features and classification techniques (2006) 0.09 
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    Abstract
    With the rapid proliferation of Internet technologies and applications, misuse of online messages for inappropriate or illegal purposes has become a major concern for society. The anonymous nature of online-message distribution makes identity tracing a critical problem. We developed a framework for authorship identification of online messages to address the identity-tracing problem. In this framework, four types of writing-style features (lexical, syntactic, structural, and content-specific features) are extracted and inductive learning algorithms are used to build feature-based classification models to identify authorship of online messages. To examine this framework, we conducted experiments on English and Chinese online-newsgroup messages. We compared the discriminating power of the four types of features and of three classification techniques: decision trees, backpropagation neural networks, and support vector machines. The experimental results showed that the proposed approach was able to identify authors of online messages with satisfactory accuracy of 70 to 95%. All four types of message features contributed to discriminating authors of online messages. Support vector machines outperformed the other two classification techniques in our experiments. The high performance we achieved for both the English and Chinese datasets showed the potential of this approach in a multiple-language context.
    Date
    22. 7.2006 16:14:37
  13. Hotho, A.; Bloehdorn, S.: Data Mining 2004 : Text classification by boosting weak learners based on terms and concepts (2004) 0.08 
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    Content
    Vgl.: http://www.google.de/url?sa=t&rct=j&q=&esrc=s&source=web&cd=1&cad=rja&ved=0CEAQFjAA&url=http%3A%2F%2Fciteseerx.ist.psu.edu%2Fviewdoc%2Fdownload%3Fdoi%3D10.1.1.91.4940%26rep%3Drep1%26type%3Dpdf&ei=dOXrUMeIDYHDtQahsIGACg&usg=AFQjCNHFWVh6gNPvnOrOS9R3rkrXCNVD-A&sig2=5I2F5evRfMnsttSgFF9g7Q&bvm=bv.1357316858,d.Yms.
    Date
    8. 1.2013 10:22:32
  14. MacLeod, R.: Promoting a subject gateway : a case study from EEVL (Edinburgh Engineering Virtual Library) (2000) 0.08 
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    Date
    22. 6.2002 19:40:22
  15. Pfister, H.-R.: Eröffnung des CSCL-Kompetenzzentrums am GMD-IPSI in Darmstadt : Kooperatives computerunterstütztes Lernen (CSCL) - Was ist das und wozu nützt es? (2000) 0.08 
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    Date
    22. 6.2000 13:32:20
  16. Hauer, M.: Automatische Indexierung (2000) 0.08 
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    Source
    Wissen in Aktion: Wege des Knowledge Managements. 22. Online-Tagung der DGI, Frankfurt am Main, 2.-4.5.2000. Proceedings. Hrsg.: R. Schmidt
  17. Wissen in Aktion : Wege des Knowledge Managements, 22. Online-Tagung der DGI 2000 / Frankfurt am Main, 2. bis 4. Mai 2000: Proceedings (2000) 0.08 
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    Editor
    Schmidt, R.
  18. Hammwöhner, R.: Besuch bei alten Bekannten : zu den Sprachspielen mit dem Informationsbegriff (2004) 0.08 
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    Date
    27.11.2005 17:22:54
    Source
    Wissen in Aktion: Der Primat der Pragmatik als Motto der Konstanzer Informationswissenschaft. Festschrift für Rainer Kuhlen. Hrsg. R. Hammwöhner, u.a
  19. Houston, R.D.; Harmon, E.G.: Re-envisioning the information concept : systematic definitions (2002) 0.07 
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    Date
    22. 2.2007 18:56:23
    22. 2.2007 19:22:13
    Source
    Emerging frameworks and methods: Proceedings of the Fourth International Conference on the Conceptions of Library and Information Science (CoLIS4), Seattle, WA, July 21 - 25, 2002. Eds.: Fidel, R., H. Bruce, P. Ingwersen u. P. Vakkari
  20. White, H.D.: Author cocitation analysis and pearson's r (2003) 0.07 
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    Abstract
    In their article "Requirements for a cocitation similarity measure, with special reference to Pearson's correlation coefficient," Ahlgren, Jarneving, and Rousseau fault traditional author cocitation analysis (ACA) for using Pearson's r as a measure of similarity between authors because it fails two tests of stability of measurement. The instabilities arise when rs are recalculated after a first coherent group of authors has been augmented by a second coherent group with whom the first has little or no cocitation. However, AJ&R neither cluster nor map their data to demonstrate how fluctuations in rs will mislead the analyst, and the problem they pose is remote from both theory and practice in traditional ACA. By entering their own rs into multidimensional scaling and clustering routines, I show that, despite r's fluctuations, clusters based an it are much the same for the combined groups as for the separate groups. The combined groups when mapped appear as polarized clumps of points in two-dimensional space, confirming that differences between the groups have become much more important than differences within the groups-an accurate portrayal of what has happened to the data. Moreover, r produces clusters and maps very like those based an other coefficients that AJ&R mention as possible replacements, such as a cosine similarity measure or a chi square dissimilarity measure. Thus, r performs well enough for the purposes of ACA. Accordingly, I argue that qualitative information revealing why authors are cocited is more important than the cautions proposed in the AJ&R critique. I include notes an topics such as handling the diagonal in author cocitation matrices, lognormalizing data, and testing r for significance.

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