Abstract
Cyclone is a mixed-initiative and adaptive clustering and structure generation environment which is capable of learning categorization behavior through user interaction as well as conducting auto-categorization based on the extracted model. The strength of Cyclone resides in its integration of several visualization and interface techniques with data mining and AI learning processes. This paper presents the intuitive visual interface of Cyclone which empowers the user to explore, analyze, exploit and structure unstructured information from various sources generating a personalized taxonomy in real-time and on-the-fly.
Chapter PDF
References
Gants, J., Chute, C., Manfrediz, A., Minton, S., Reinsel, D., Schlichting, W., Toncheva, A.: The Diverse and Exploding Digital Universe – An Updated Forecase of Worldwide Information Growth Through 2011, IDC White Paper (2008)
Horvitz, E.: Principles of Mixed-Initiative User Interfaces. In: ACM conference on Human Factors in Computing Systems (CHI 1999), pp. 159–166 (1999)
Beale, R.: Supporting serendipity: Using ambient intelligence to augment user exploration for data mining and web browsing. J. of Human-Computer Studies 65, 421–433 (2007)
Ferreira de Oliveira, M.C., Levkowitz, H.: From Visual Data Exploration to Visual Data Mining: A Survey. IEEE Transactions on Visualization and Computer Graphics 9, 378–394 (2003)
Zhou, Y.: On Interactive Data Mining. In: Encyclopedia of Data Warehousing and Mining, vol. 2, pp. 1085–1090. Idea Group Inc. (2008)
Shneiderman, B.: Inventing Discovery Tools: Combining Information Visualization with Data Mining. Information Visualization 1, 5–12 (2002)
Xu, R., Wunsch II, D.: Survey of Clustering Algorithms. IEEE Transactions on Neural Networks 16, 645–678 (2005)
Gates, S.C., Teiken, W., Chen, K.-S.: Taxonomies by the numbers: building high-performance taxonomies. In: 14th ACM International Conference on Information and Knowledge Management, pp. 568–577 (2005)
Sanchez, D., Moreno, A.: Automatic Generation of Taxonomies from the WWW. In: Karagiannis, D., Reimer, U. (eds.) PAKM 2004. LNCS, vol. 3336, pp. 208–219. Springer, Heidelberg (2004)
Wetzker, R., Alpcan, T., Buckhage, C., Umbrath, W., Albayrak, S.: An unsupervised hierarchical approach to document categorization. In: 2007 IEEE/WIC/ACM International Conference on Web Intelligence, pp. 482–486 (2007)
Lan, S.C., Al-Hawamdeh, S.: Taxonomy-Building Tools: An Investigative Study. J. Informatoin & Knowledge Management. 2, 63–77 (2003)
Wolin. B.: Method for Automatic Categorization of Items. US Patent 1 160 52 (2001)
Rostoker, C.: Interactive Visualization of the Market Graph. Technical report, University of British Columbia (2005)
DesJardins, M., Ferraioli, J.: Interactive Visual Clustering. In: 12th International Conference on Intelligent User Interfaces (2007)
Duman, H., Healing, A., Ghanea-Hercock, R.: An Intelligent Agent Approach for Visual Information Structure Generation. In: 2009 IEEE Symposium on Intelligent Agents, Nashville, Tennessee (2009)
Eades, P., Huang, M.L.: Navigating Clustered Graphs using Force-Directed Methods. J. Graph Algorithms and Applications 4, 157–181 (2000)
Ghanea-Hercock, R., Gelenbe, E., Jennings, N.R., Smith, O., Allsopp, D.N., Healing, A., Duman, H., Sparks, S., Karunatillake, N.C., Vytelingum, P.: Hyperion - Next Generation Battlespace Information Services. Computer Journal 50, 632–645 (2007)
Healing, A., Ghanea-Hercock, R., Duman, H., Jacob, M.: Nexus: Self-organising Agent-based Peer-to-Peer Middleware for Battlespace Support. Defence Industry Applications of Autonomous Agents and Multi-agent Systems, pp. 1–13 (2008)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2009 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Duman, H., Healing, A., Ghanea-Hercock, R. (2009). Adaptive Visual Clustering for Mixed-Initiative Information Structuring. In: Smith, M.J., Salvendy, G. (eds) Human Interface and the Management of Information. Designing Information Environments. Human Interface 2009. Lecture Notes in Computer Science, vol 5617. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-02556-3_44
Download citation
DOI: https://doi.org/10.1007/978-3-642-02556-3_44
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-02555-6
Online ISBN: 978-3-642-02556-3
eBook Packages: Computer ScienceComputer Science (R0)