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  1. Cios, K.J.; Pedrycz, W.; Swiniarksi, R.: Data mining methods for knowledge discovery (1998) 0.00
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    Footnote
    Rez. in: Journal of end user computing 12(2000) no.3, S.50 (D. Mitchell)
    Pages
    495 S
  2. Intelligent information processing and web mining : Proceedings of the International IIS: IIPWM'03 Conference held in Zakopane, Poland, June 2-5, 2003 (2003) 0.00
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    Pages
    XIV, 579 S
    Type
    s
  3. Howlett, D.: Digging deep for treasure (1998) 0.00
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    Source
    PC week. 1998, March, 10th, S.45-46
  4. Tunbridge, N.: Semiology put to data mining (1999) 0.00
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    Source
    Online and CD-ROM review. 23(1999) no.5, S.303-305
  5. Budzik, J.; Hammond, K.J.; Birnbaum, L.: Information access in context (2001) 0.00
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    Source
    Knowledge-based systems. 14(2001) nos.1/2, S.37-53
  6. Fong, A.C.M.: Mining a Web citation database for document clustering (2002) 0.00
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    Source
    Applied artificial intelligence. 16(2002) no.4, S.283-292
  7. 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
  8. 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-
  9. Principles of data mining and knowledge discovery (1998) 0.00
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    Pages
    XI,482 S
    Type
    s
  10. 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
  11. Relational data mining (2001) 0.00
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    Editor
    Dzeroski, S. u. N. Lavrac
    Pages
    XIX,398 S
    Type
    s
  12. 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
  13. 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
  14. 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
  15. 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
  16. Knowledge management in fuzzy databases (2000) 0.00
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    Pages
    XIV,384 S
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    s
  17. 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
  18. 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
  19. 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
  20. 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

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