Visual pattern discovery in timed event data

Proceedings of SPIE - The International Society for Optical Engineering

Volumn 7868, Issue , 2011, Pages

  Schaefer, Matthias ^a   Wanner, Franz ^a   Mansmann, Florian ^b   Scheible, Christian ^a   Stennett, Verity ^b   Hasselrot, Anders T ^b   Keim, Daniel A ^a  

^a UNIVERSITY OF KONSTANZ   (Germany)

^b LLOYDS BANKING GROUP   (United Kingdom)

Author keywords

Event Data; Information Visualization; Visual Analytics

Indexed keywords

BUILT-IN FEATURE; BUSINESS PROCESS; BUSINESS PROCESS ENGINEERINGS; DEGREE OF FREEDOM; EVENT DATA; EVENT PATTERN; EVENT SEQUENCE; INFORMATION VISUALIZATION; NEWS ARTICLES; SERVICE LEVELS; TEMPORAL CORRELATIONS; TEMPORAL PATTERN; VISUAL ANALYTICS; VISUAL PATTERN; WORK-FLOWS;

CUSTOMER SATISFACTION; DATA HANDLING; INFORMATION ANALYSIS; INFORMATION SYSTEMS; MANAGEMENT; METADATA; TIME SERIES; VISUALIZATION;

DATA VISUALIZATION;

EID: 79951870638     PISSN: 0277786X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1117/12.871870     Document Type: Conference Paper

References (28)

1. J. Kiernan and E. Terzi, "Eventsummarizer: a tool for summarizing large event sequences," in EDBT '09: Proceedings of the 12th International Conference on Extending Database Technology, pp. 1136-1139, ACM, (New York, NY, USA), 2009.
2. H. Mannila, H. Toivonen, and A. Inkeri Verkamo, "Discovery of frequent episodes in event sequences," Data Min. Knowl. Discov. 1(3), pp. 259-289, 1997. (Pubitemid 127721244)
3. A. Galton and J. C. Augusto, "Two approaches to event definition," in DEXA '02: Proceedings of the 13th International Conference on Database and Expert Systems Applications, pp. 547-556, Springer-Verlag, (London, UK), 2002.
4. V. Guralnik and J. Srivastava, "Event detection from time series data," in KDD '99: Proceedings of the fifth ACM SIGKDD international conference on Knowledge discovery and data mining, pp. 33-42, ACM, (New York, NY, USA), 1999.
5. M. Ankerst, D. A. Keim, and H.-P. Kriegel, "Circle segments: A technique for visually exploring large multidimensional data sets," in Visualization '96, Hot Topic Session, San Francisco, CA, 1996.
6. M. Ankerst, D. A. Keim, and H.-P. Kriegel, "Recursive pattern: A technique for visualizing very large amounts of data," in Proc. Visualization '95, Atlanta, GA, pp. 279-286, 1995.
7. D. A. Keim, M. C. Hao, U. Dayal, and M. Hsu, "Pixel bar charts: A visualization technique for very large multi-attribute data sets," Visualization, San Diego 2001, extended version in: Information Visualization Journal, Palgrave 1(2), 2002.
8. D. A. Keim, T. Nietzschmann, N. Schelwies, J. Schneidewind, T. Schreck, and H. Ziegler, "FinDEx: A spectral visualization system for analyzing financial time series data," in EuroVis 2006: Eurographics/IEEEVGTC Symposium on Visualization, Lisbon, Portugal, 8-10 May, 2006.
9. M. Hao, D. Keim, U. Dayal, and T. Schreck, "Importance-driven visualization layouts for large time series data," in IEEE Symposium on Information Visualization (InfoVis 2005), 2005.
10. H. Hochheiser and B. Shneiderman, "Dynamic query tools for time series data sets: timebox widgets for interactive exploration," Information Visualization 3(1), pp. 1-18, 2004.
11. M. Weber, M. Alexa, and W. Muller, "Visualizing time-series on spirals," Information Visualization, IEEE Symposium on 0, p. 7, 2001.
12. E. Bertini, P. Hertzog, and D. Lalanne, "SpiralView: towards security policies assessment through visual correlation of network resources with evolution of alarms," in IEEE Symposium on Visual Analytics Science and Technology, 2007. VAST 2007, pp. 139-146, 2007.
13. J. J. Van Wijk and E. R. Van Selow, "Cluster and calendar based visualization of time series data.," in Proceedings of the IEEE Symposium on Information Visualization, pp. 4-9, IEEE Computer Society, 1999.
14. B. B. Bederson, A. Clamage, M. P. Czerwinski, and G. G. Robertson, "Datelens: A fisheye calendar interface for pdas," ACM Trans. Comput.-Hum. Interact. 11(1), pp. 90-119, 2004.
15. F. Mansmann, D. A. Keim, S. C. North, B. Rexroad, and D. Sheleheda, "Visual Analysis of Network Traffic for Resource Planning, Interactive Monitoring, and Interpretation of Security Threats," IEEE Transactions on Visualization and Computer Graphics 13(6), 2007.
16. D. Phan, J. Gerth, M. Lee, A. Paepcke, and T. Winograd, "Visual analysis of network flow data with timelines and event plots," in VizSEC 2007, Springer, 2008.
17. N. Kumar, N. Lolla, E. Keogh, S. Lonardi, and C. A. Ratanamahatana, "Time-series bitmaps: a practical visualization tool for working with large time series databases," in SIAM 2005 Data Mining Conference, pp. 531-535, SIAM, 2005.
18. P. McLachlan, T. Munzner, E. Koutsofios, and S. North, "Liverac: interactive visual exploration of system management time-series data," in CHI '08: Proceeding of the twenty-sixth annual SIGCHI conference on Human factors in computing systems, pp. 1483-1492, ACM, (New York, NY, USA), 2008.
19. M. Hao, D. Keim, U. Dayal, and T. Schreck, "Multi-resolution techniques for visual exploration of large time-series data," in Eurographics/IEEE-VGTC Symposium on Visualization, Norrkping, Sweden, 2007.
20. W. Aigner, S. Miksch, W. Muller, H. Schumann, and C. Tominski, "Visual methods for analyzing timeoriented data," IEEE Transactions on Visualization and Computer Graphics 14(1), pp. 47-60, 2008. (Pubitemid 350157879)
21. M. Suntinger, H. Obweger, J. Schiefer, and M. E. Groeller, "Event tunnel: Exploring event-driven business processes," IEEE Computer Graphics and Applications 28, pp. 46-55, 2008.
22. R. Chang, M. Ghoniem, R. Kosara, W. Ribarsky, J. Yang, E. Suma, C. Ziemkiewicz, D. Kern, and A. Sudjianto, "WireVis: Visualization of categorical, time-varying data from financial transactions," in IEEE Symposium of Visual Analytics Science and Technology, pp. 155-162, 2007.
23. H. Rosling, "Gapminder." Available from http://www.gapminder. org/. Accessed on Mar. 30, 2010.
24. P. Gatalsky, N. Andrienko, and G. Andrienko, "Interactive analysis of event data using space-time cube," in International Conference on Information Visualisation, 8, pp. 145-152, 2004.
25. E. E. Koutsofios, S. C. North, R. Truscott, and D. A. Keim, "Visualizing large-scale telecommunication networks and services (case study)," in VIS '99: Proceedings of the conference on Visualization '99, pp. 457-461, IEEE Computer Society Press, (Los Alamitos, CA, USA), 1999. (Pubitemid 30526258)
26. L. A. Adamic and N. Glance, "The political blogosphere and the 2004 U.S. election: divided they blog," in LinkKDD '05: Proceedings of the 3rd international workshop on Link discovery, pp. 36-43, ACM, 2005.
27. M. Gamon, S. Basu, D. Belenko, D. Fisher, M. Hurst, and A. C. König, "BLEWS: Using Blogs to Provide Context for News Articles," in ICWSM, 2008.
28. V. Buvac, "Internet General Inquirer," 2008. http://www.webuse.umd.edu:9090/ as retrieved on Nov. 14.