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  1. Hotho, A.; Bloehdorn, S.: Data Mining 2004 : Text classification by boosting weak learners based on terms and concepts (2004) 0.17
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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
    Source
    Proceedings of the 4th IEEE International Conference on Data Mining (ICDM 2004), 1-4 November 2004, Brighton, UK
  2. Polatscheck, K.: Elektronische Versuchung : Test des Sony Data Discman: eine digitale Konkurrenz für Taschenbücher? (1992) 0.12
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    Object
    Data Discman
    Source
    Zeit. Nr.xx vom ???, S.22
  3. Desmarais, N.: Data preparation for electronic publications (1998) 0.10
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    Source
    Advances in librarianship. 22(1998), S.59-75
  4. Copeland, N.S.; Farmer, J.F.; Smith, P.A.: Data migration : a brief primer (1997) 0.10
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    Abstract
    Describes the dynamics of data migration and provides advice on what data to extract, how to extract the data, what tools to use in planning data migration and how to test that the data transfer has been successful. Recommends that a team of diverse experts with a thorough understanding of the types of data to be converted should lead the process
    Date
    22. 2.1999 13:41:52
    Source
    Colorado libraries. 23(1997) no.4, S.22-24
  5. Zeng, Q.; Yu, M.; Yu, W.; Xiong, J.; Shi, Y.; Jiang, M.: Faceted hierarchy : a new graph type to organize scientific concepts and a construction method (2019) 0.10
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    Abstract
    On a scientific concept hierarchy, a parent concept may have a few attributes, each of which has multiple values being a group of child concepts. We call these attributes facets: classification has a few facets such as application (e.g., face recognition), model (e.g., svm, knn), and metric (e.g., precision). In this work, we aim at building faceted concept hierarchies from scientific literature. Hierarchy construction methods heavily rely on hypernym detection, however, the faceted relations are parent-to-child links but the hypernym relation is a multi-hop, i.e., ancestor-to-descendent link with a specific facet "type-of". We use information extraction techniques to find synonyms, sibling concepts, and ancestor-descendent relations from a data science corpus. And we propose a hierarchy growth algorithm to infer the parent-child links from the three types of relationships. It resolves conflicts by maintaining the acyclic structure of a hierarchy.
    Content
    Vgl.: https%3A%2F%2Faclanthology.org%2FD19-5317.pdf&usg=AOvVaw0ZZFyq5wWTtNTvNkrvjlGA.
  6. Swartzberg, T.: Identifying and spreading expertise : The knowledge manager's brief: to disseminate a company's data and the know-how of its staff (1999) 0.09
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    Date
    29.11.1999 12:18:22
    Source
    International Herald Tribune. 15. Nov. 1999, S.22
  7. Shaw, R.; Golden, P.; Buckland, M.: Using linked library data in working research notes (2015) 0.09
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    Date
    15. 1.2016 19:22:28
    Source
    Linked data and user interaction: the road ahead. Eds.: Cervone, H.F. u. L.G. Svensson
  8. Frank, S.: Cataloging digital geographic data in the information infrastructure (1997) 0.09
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    Source
    Encyclopedia of library and information science. Vol.59, [=Suppl.22]
  9. Cronin, B.: Thinking about data (2013) 0.09
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    Date
    22. 3.2013 16:18:36
  10. Chowdhury, G.G.: Template mining for information extraction from digital documents (1999) 0.09
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    Date
    2. 4.2000 18:01:22
    Theme
    Data Mining
  11. Moore, R.W.: Management of very large distributed shared collections (2009) 0.09
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    Abstract
    Large scientific collections may be managed as data grids for sharing data, digital libraries for publishing data, persistent archives for preserving data, or as real-time data repositories for sensor data. Despite the multiple types of data management objectives, it is possible to build each system from generic software infrastructure. This entry examines the requirements driving the management of large data collections, the concepts on which current data management systems are based, and the current research initiatives for managing distributed data collections.
    Date
    27. 8.2011 14:22:57
  12. What has happened to Sony Data Discman and Mini-Disc (1996) 0.09
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    Abstract
    Traces the initial success of the Sony Data Discman and Mini Disc 3,5 inch CD-ROM in Japan and its ultimate failure to reach a mass market as a publishing medium
    Object
    Data Discman
    Source
    Digital publisher. 1(1996) no.4, S.22-24
  13. Flanagan, M.: Database licensing : a future view (1993) 0.08
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    Abstract
    Examines the potential of database licensing. Describes future options for full text databases, the role of Z39.50 data exchange standard, database construction and presentation, and CD-ROM technology
    Source
    Computers in libraries. 13(1993) no.1, S.21-22
  14. Morrow, B.: IMPACT public access catalogue (1989) 0.08
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    Abstract
    Reviews Auto-Graphics, Inc.'s IMPACT system: designed as a CD-ROM index of a library's data base of holdings and bibliographic information. IMPACT is based in the MARC format.
    Source
    CD-ROM librarian. 4(1989), no.1, S.22-26
  15. Marx, W.; Bornmann, L.: On the problems of dealing with bibliometric data (2014) 0.08
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    Date
    18. 3.2014 19:13:22
  16. Pohl, A.; Danowski, P.: Linked Open Data in der Bibliothekswelt : Überblick und Herausforderungen (2015) 0.08
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    Date
    26. 8.2015 10:22:00
  17. Jackson, P.: ¬A thesaurus for enhanced geographic access (1991) 0.08
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    Abstract
    Argues that geographic access in on-line catalogues could be improved by organising and structuring geographic data through the hierarchies of a thesaurus. The proposed thesaurus, based on geographic area codes and the DDC area tables, would incorporate geographic coordinate data, and would allow catalogue users to expand or refine a search by defined ares
    Source
    LASIE. 22(1991) no.3, S.49-60
  18. Griffith, C.: What's all the hype about hypertext? (1989) 0.08
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    Abstract
    Considers the reason why CD-ROM's promise of a large range of legal data bases has, to some extent, been limited. The new range of CD-ROM hypertext data bases, produced by West Publishing Company, are discussed briefly.
    Source
    Information today. 6(1989) no.4, S.22-24
  19. He, L.; Nahar, V.: Reuse of scientific data in academic publications : an investigation of Dryad Digital Repository (2016) 0.08
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    Abstract
    Purpose - In recent years, a large number of data repositories have been built and used. However, the extent to which scientific data are re-used in academic publications is still unknown. The purpose of this paper is to explore the functions of re-used scientific data in scholarly publication in different fields. Design/methodology/approach - To address these questions, the authors identified 827 publications citing resources in the Dryad Digital Repository indexed by Scopus from 2010 to 2015. Findings - The results show that: the number of citations to scientific data increases sharply over the years, but mainly from data-intensive disciplines, such as agricultural, biology science, environment science and medicine; the majority of citations are from the originating articles; and researchers tend to reuse data produced by their own research groups. Research limitations/implications - Dryad data may be re-used without being formally cited. Originality/value - The conservatism in data sharing suggests that more should be done to encourage researchers to re-use other's data.
    Date
    20. 1.2015 18:30:22
  20. Vogt, F.; Wille, R.: TOSCANA - a graphical tool for analyzing and exploring data (1995) 0.07
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    Abstract
    TOSCANA is a computer program which allows an online interaction with larger data bases to analyse and explore data conceptually. It uses labelled line diagrams of concept lattices to communicate knowledge coded in given data. The basic problem to create online presentations of concept lattices is solved by composing prepared diagrams to nested line diagrams. A larger number of applications in different areas have already shown that TOSCANA is a useful tool for many purposes
    Source
    Knowledge organization. 22(1995) no.2, S.78-81

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