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  • × theme_ss:"Data Mining"
  1. Blake, C.: Text mining (2011) 0.00
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    Source
    Annual review of information science and technology. 45(2011) no.1, S.121-155
  2. Chen, S.Y.; Liu, X.: ¬The contribution of data mining to information science : making sense of it all (2005) 0.00
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    Source
    Journal of information science. 30(2005) no.6, S.550-
  3. Principles of data mining and knowledge discovery (1998) 0.00
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    Pages
    XI,482 S
    Type
    s
  4. Chardonnens, A.; Hengchen, S.: Text mining for cultural heritage institutions : a 5-step method for cultural heritage institutions (2017) 0.00
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    Pages
    S.177-191
  5. Relational data mining (2001) 0.00
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    Editor
    Dzeroski, S. u. N. Lavrac
    Pages
    XIX,398 S
    Type
    s
  6. Berendt, B.; Krause, B.; Kolbe-Nusser, S.: Intelligent scientific authoring tools : interactive data mining for constructive uses of citation networks (2010) 0.00
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    Abstract
    Many powerful methods and tools exist for extracting meaning from scientific publications, their texts, and their citation links. However, existing proposals often neglect a fundamental aspect of learning: that understanding and learning require an active and constructive exploration of a domain. In this paper, we describe a new method and a tool that use data mining and interactivity to turn the typical search and retrieve dialogue, in which the user asks questions and a system gives answers, into a dialogue that also involves sense-making, in which the user has to become active by constructing a bibliography and a domain model of the search term(s). This model starts from an automatically generated and annotated clustering solution that is iteratively modified by users. The tool is part of an integrated authoring system covering all phases from search through reading and sense-making to writing. Two evaluation studies demonstrate the usability of this interactive and constructive approach, and they show that clusters and groups represent identifiable sub-topics.
    Source
    Information processing and management. 46(2010) no.1, S.1-10
  7. Fayyad, U.M.: Data mining and knowledge dicovery : making sense out of data (1996) 0.00
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    Source
    IEEE expert. 11(1996) no.5, S.20-25
  8. Fayyad, U.; Piatetsky-Shapiro, G.; Smyth, P.: From data mining to knowledge discovery in databases (1996) 0.00
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    Source
    AI magazine. 17(1996) no.3, S.37-54
  9. Methodologies for knowledge discovery and data mining : Third Pacific-Asia Conference, PAKDD'99, Beijing, China, April 26-28, 1999, Proceedings (1999) 0.00
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    Pages
    XV,533 S
    Type
    s
  10. Knowledge management in fuzzy databases (2000) 0.00
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    Pages
    XIV,384 S
    Type
    s
  11. Kong, S.; Ye, F.; Feng, L.; Zhao, Z.: Towards the prediction problems of bursting hashtags on Twitter (2015) 0.00
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    Source
    Journal of the Association for Information Science and Technology. 66(2015) no.12, S.2566-2579
  12. Gill, A.J.; Hinrichs-Krapels, S.; Blanke, T.; Grant, J.; Hedges, M.; Tanner, S.: Insight workflow : systematically combining human and computational methods to explore textual data (2017) 0.00
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    Source
    Journal of the Association for Information Science and Technology. 68(2017) no.7, S.1671-1686
  13. Ohly, H.P.: Bibliometric mining : added value from document analysis and retrieval (2008) 0.00
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    Pages
    S.181-186
    Source
    Kompatibilität, Medien und Ethik in der Wissensorganisation - Compatibility, Media and Ethics in Knowledge Organization: Proceedings der 10. Tagung der Deutschen Sektion der Internationalen Gesellschaft für Wissensorganisation Wien, 3.-5. Juli 2006 - Proceedings of the 10th Conference of the German Section of the International Society of Knowledge Organization Vienna, 3-5 July 2006. Ed.: H.P. Ohly, S. Netscher u. K. Mitgutsch
  14. Loh, S.; Oliveira, J.P.M. de; Gastal, F.L.: Knowledge discovery in textual documentation : qualitative and quantitative analyses (2001) 0.00
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    Source
    Journal of documentation. 57(2001) no.5, S.577-590
  15. Perugini, S.; Ramakrishnan, N.: Mining Web functional dependencies for flexible information access (2007) 0.00
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    Source
    Journal of the American Society for Information Science and Technology. 58(2007) no.12, S.1805-1819
  16. Thelwall, M.; Wilkinson, D.; Uppal, S.: Data mining emotion in social network communication : gender differences in MySpace (2009) 0.00
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    Source
    Journal of the American Society for Information Science and Technology. 61(2010) no.1, S.190-199
  17. Liu, X.; Yu, S.; Janssens, F.; Glänzel, W.; Moreau, Y.; Moor, B.de: Weighted hybrid clustering by combining text mining and bibliometrics on a large-scale journal database (2010) 0.00
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    Source
    Journal of the American Society for Information Science and Technology. 61(2010) no.6, S.1105-1119
  18. Sarnikar, S.; Zhang, Z.; Zhao, J.L.: Query-performance prediction for effective query routing in domain-specific repositories (2014) 0.00
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    Source
    Journal of the Association for Information Science and Technology. 65(2014) no.8, S.1597-1614
  19. Bella, A. La; Fronzetti Colladon, A.; Battistoni, E.; Castellan, S.; Francucci, M.: Assessing perceived organizational leadership styles through twitter text mining (2018) 0.00
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    Source
    Journal of the Association for Information Science and Technology. 69(2018) no.1, S.21-31
  20. Teich, E.; Degaetano-Ortlieb, S.; Fankhauser, P.; Kermes, H.; Lapshinova-Koltunski, E.: ¬The linguistic construal of disciplinarity : a data-mining approach using register features (2016) 0.00
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    Source
    Journal of the Association for Information Science and Technology. 67(2016) no.7, S.1668-1678

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