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Bisociative Knowledge Discovery pp 285–286Cite as

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Exploration: Overview

Exploration: Overview

  • Andreas Nürnberger5 
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Part of the Lecture Notes in Computer Science book series (LNAI,volume 7250)

Abstract

In the previous chapters of this book quite different approaches to create networks based on existing data collections (Part II) have been discussed and diverse methods for network analysis have been proposed (Part III). All these methods provide powerful means in order to obtain different insights into the properties of huge information networks or graphs. However, one disadavantage of these individual approaches is that each approach provides only specific facets of information to the end user. Integrated exploration tools that enable the interactive exploration of huge graphs and data collections using data viusalization, aggregation and mining methods could be much more beneficial for the (interactive) task of finding bisociations. Therefore, we present and discuss in this part of the book methods for interactive exploration that bring these fields together.

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References

  1. Gossen, T., Nitsche, M., Haun, S., Nürnberger, A.: Data Exploration for Knowledge Discovery: A brief Overview of Tools and Evaluation Methods. In: Berthold, M.R. (ed.) Bisociative Knowledge Discovery. LNCS (LNAI), vol. 7250, pp. 287–300. Springer, Heidelberg (2012)

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  2. Haun, S., Gossen, T., Nürnberger, A., Kötter, T., Thiel, K., Berthold, M.R.: On the Integration of Graph Exploration and Data Analysis: The Creative Exploration Toolkit. In: Berthold, M.R. (ed.) Bisociative Knowledge Discovery. LNCS (LNAI), vol. 7250, pp. 301–312. Springer, Heidelberg (2012)

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  3. Juršič, M., Cestnik, B., Urbančič, T., Lavrač, N.: Bisociative Literature Mining by Ensemble Heuristics. In: Berthold, M.R. (ed.) Bisociative Knowledge Discovery. LNCS (LNAI), vol. 7250, pp. 338–358. Springer, Heidelberg (2012)

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  4. Petrič, I., Cestnik, B., Lavrač, N., Urbančič, T.: Bisociative Knowledge Discovery by Literature Outlier Detection. In: Berthold, M.R. (ed.) Bisociative Knowledge Discovery. LNCS (LNAI), vol. 7250, pp. 313–324. Springer, Heidelberg (2012)

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  5. Sluban, B., Juršič, M., Cestnik, B., Lavrač, N.: Exploring the Power of Outliers for Cross-Domain Literature Mining. In: Berthold, M.R. (ed.) Bisociative Knowledge Discovery. LNCS (LNAI), vol. 7250, pp. 325–337. Springer, Heidelberg (2012)

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Authors and Affiliations

  1. Data and Knowledge Engineering Group, Faculty of Computer Science, Otto-von-Guericke-University, Germany

    Andreas Nürnberger

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  1. Andreas Nürnberger
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Editors and Affiliations

  1. Department of Computer and Information Science, University of Konstanz, Konstanz, Germany

    Michael R. Berthold

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Nürnberger, A. (2012). Exploration: Overview. In: Berthold, M.R. (eds) Bisociative Knowledge Discovery. Lecture Notes in Computer Science(), vol 7250. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-31830-6_19

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  • DOI: https://doi.org/10.1007/978-3-642-31830-6_19

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