Search (33 results, page 1 of 2)

  • × theme_ss:"Literaturübersicht"
  1. Miksa, S.D.: ¬The challenges of change : a review of cataloging and classification literature, 2003-2004 (2007) 0.13
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    Abstract
    This paper reviews the enormous changes in cataloging and classification reflected in the literature of 2003 and 2004, and discusses major themes and issues. Traditional cataloging and classification tools have been re-vamped and new resources have emerged. Most notable themes are: the continuing influence of the Functional Requirements for Bibliographic Control (FRBR); the struggle to understand the ever-broadening concept of an "information entity"; steady developments in metadata-encoding standards; and the globalization of information systems, including multilinguistic challenges.
    Date
    10. 9.2000 17:38:22
  2. Blake, C.: Text mining (2011) 0.10
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    Theme
    Data Mining
  3. Chambers, S.; Myall, C.: Cataloging and classification : review of the literature 2007-8 (2010) 0.09
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    Abstract
    This paper surveys library literature on cataloging and classification published in 2007-8, indicating its extent and range in terms of types of literature, major subject areas, and themes. The paper reviews pertinent literature in the following areas: the future of bibliographic control, general cataloging standards and texts, Functional Requirements for Bibliographic Records (FRBR), cataloging varied resources, metadata and cataloging in the Web world, classification and subject access, questions of diversity and diverse perspectives, additional reports of practice and research, catalogers' education and careers, keeping current through columns and blogs, and cataloging history.
    Date
    10. 9.2000 17:38:22
  4. Benoit, G.: Data mining (2002) 0.08
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    Abstract
    Data mining (DM) is a multistaged process of extracting previously unanticipated knowledge from large databases, and applying the results to decision making. Data mining tools detect patterns from the data and infer associations and rules from them. The extracted information may then be applied to prediction or classification models by identifying relations within the data records or between databases. Those patterns and rules can then guide decision making and forecast the effects of those decisions. However, this definition may be applied equally to "knowledge discovery in databases" (KDD). Indeed, in the recent literature of DM and KDD, a source of confusion has emerged, making it difficult to determine the exact parameters of both. KDD is sometimes viewed as the broader discipline, of which data mining is merely a component-specifically pattern extraction, evaluation, and cleansing methods (Raghavan, Deogun, & Sever, 1998, p. 397). Thurasingham (1999, p. 2) remarked that "knowledge discovery," "pattern discovery," "data dredging," "information extraction," and "knowledge mining" are all employed as synonyms for DM. Trybula, in his ARIST chapter an text mining, observed that the "existing work [in KDD] is confusing because the terminology is inconsistent and poorly defined.
    Theme
    Data Mining
  5. Genereux, C.: Building connections : a review of the serials literature 2004 through 2005 (2007) 0.08
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    Abstract
    This review of 2004 and 2005 serials literature covers the themes of cost, management, and access. Interwoven through the serials literature of these two years are the importance of collaboration, communication, and linkages between scholars, publishers, subscription agents and other intermediaries, and librarians. The emphasis in the literature is on electronic serials and their impact on publishing, libraries, and vendors. In response to the crisis of escalating journal prices and libraries' dissatisfaction with the Big Deal licensing agreements, Open Access journals and publishing models were promoted. Libraries subscribed to or licensed increasing numbers of electronic serials. As a result, libraries sought ways to better manage licensing and subscription data (not handled by traditional integrated library systems) by implementing electronic resources management systems. In order to provide users with better, faster, and more current information on and access to electronic serials, libraries implemented tools and services to provide A-Z title lists, title by title coverage data, MARC records, and OpenURL link resolvers.
    Date
    10. 9.2000 17:38:22
  6. Trybula, W.J.: Data mining and knowledge discovery (1997) 0.07
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    Abstract
    State of the art review of the recently developed concepts of data mining (defined as the automated process of evaluating data and finding relationships) and knowledge discovery (defined as the automated process of extracting information, especially unpredicted relationships or previously unknown patterns among the data) with particular reference to numerical data. Includes: the knowledge acquisition process; data mining; evaluation methods; and knowledge discovery. Concludes that existing work in the field are confusing because the terminology is inconsistent and poorly defined. Although methods are available for analyzing and cleaning databases, better coordinated efforts should be directed toward providing users with improved means of structuring search mechanisms to explore the data for relationships
    Theme
    Data Mining
  7. Bath, P.A.: Data mining in health and medical information (2003) 0.07
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    Abstract
    Data mining (DM) is part of a process by which information can be extracted from data or databases and used to inform decision making in a variety of contexts (Benoit, 2002; Michalski, Bratka & Kubat, 1997). DM includes a range of tools and methods for extractiog information; their use in the commercial sector for knowledge extraction and discovery has been one of the main driving forces in their development (Adriaans & Zantinge, 1996; Benoit, 2002). DM has been developed and applied in numerous areas. This review describes its use in analyzing health and medical information.
    Theme
    Data Mining
  8. Chen, H.; Chau, M.: Web mining : machine learning for Web applications (2003) 0.04
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    Theme
    Data Mining
  9. Enser, P.G.B.: Visual image retrieval (2008) 0.03
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    Date
    22. 1.2012 13:01:26
  10. Morris, S.A.: Mapping research specialties (2008) 0.03
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    Date
    13. 7.2008 9:30:22
  11. Fallis, D.: Social epistemology and information science (2006) 0.03
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    Date
    13. 7.2008 19:22:28
  12. Nicolaisen, J.: Citation analysis (2007) 0.03
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    Date
    13. 7.2008 19:53:22
  13. Metz, A.: Community service : a bibliography (1996) 0.03
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    Date
    17.10.1996 14:22:33
  14. Belkin, N.J.; Croft, W.B.: Retrieval techniques (1987) 0.03
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    Source
    Annual review of information science and technology. 22(1987), S.109-145
  15. Smith, L.C.: Artificial intelligence and information retrieval (1987) 0.03
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    Source
    Annual review of information science and technology. 22(1987), S.41-77
  16. Warner, A.J.: Natural language processing (1987) 0.03
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    Source
    Annual review of information science and technology. 22(1987), S.79-108
  17. Grudin, J.: Human-computer interaction (2011) 0.03
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    Date
    27.12.2014 18:54:22
  18. Bawden, D.: Browsing : theory and practice (1993) 0.03
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    Abstract
    Presents a selective literature review covering the process of browsing as a means of searching for information. References are selected in order to illustrate the major themes and to bring out points which have not been emphasised before. The main points covered in the review include: consideration of browsing as an important, but under rated and little understood, form of information access; the ability in browsing to find analogies, connections, and new lines of thought; the potential of browsings as an ideal technique for accasional or non expert users; the ability to apply browsing to both paper based and computerized information retrieval; and the ability to search for information in a semi-random fashion leading to serendipitous linkage. Concludes that, despite the acknowledges importance of browsing, the increased effort being expended in making computerized systems browsable and the many references to the concept in the computer literature, there is still a lack of real understanding of the basic concepts of the process
  19. Rader, H.B.: Library orientation and instruction - 1993 (1994) 0.02
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    Source
    Reference services review. 22(1994) no.4, S.81-
  20. Hsueh, D.C.: Recon road maps : retrospective conversion literature, 1980-1990 (1992) 0.02
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    Source
    Cataloging and classification quarterly. 14(1992) nos.3/4, S.5-22