Sunburst with ordered nodes based on hierarchical clustering: a visual analyzing method for associated hierarchical pesticide residue data

Journal of Visualization

Volumn 18, Issue 2, 2015, Pages 237-254

  Chen, Yi ^a   Zhang, Xinyue ^a   Feng, Yuchao ^a   Liang, Jie ^b   Chen, Hongqian ^a  

^a BEIJING TECHNOLOGY AND BUSINESS UNIVERSITY   (China)

^b Peking University   (China)

Author keywords

Associated hierarchical data; Information visualization; Pesticide residue; Sunburst; Visual analytics

Indexed keywords

EID: 84939984385     PISSN: 13438875     EISSN: 18758975     Source Type: Journal    
DOI: 10.1007/s12650-014-0269-3     Document Type: Article

References (33)

1. Adamoli A, Hauswirth M (2010) Trevis: A context tree visualization and analysis framework and its use for classifying performance failure reports. In: SoftVis’10: Proceedings of the international symposium on software visualization, pp 73–82
2. Ackermann MR, Blömer J, Kuntze D, Sohler C (2011) Analysis of agglomerative clustering. In: Proceedings of the 28th international symposium on theoretical aspects of computer science (STACS’11), pp 308–319, 2011
3. Brooke J (1996) SUS-A quick and dirty usability scale. Usability Eval Ind 189:194
4. Cao N, Gotz D, Sun J et al (2011) SolarMap: multifaceted visual analytics for topic exploration //data mining (ICDM). In: 2011 IEEE 11th international conference on IEEE, pp 101–110
5. Ceglar A, Roddick J, Calder P (2005) Visualizing hierarchical associations. Knowl Inf Syst 8:257–275
6. Chen Y, Cai JF, Shi YB, Chen HQ (2013) Coordinated visual analytics method based on multiple views with parallel coordinates. J Syst Simul 25(1):81–86
7. Chen Y, Zhang XY, Chen HQ, Feng YC (2014) Hybrid layout algorithm for double interrelated tree. J Syst Simul 26(9):2160–2166
8. Christensen R (1996) One-way ANOVA //plane answers to complex questions. Springer, New York, pp 79–93
9. Gou L, Zhang X (2011) Treenetviz: revealing patterns of networks over tree structures. IEEE Trans Vis Comput Graph 17(12):2449–2458
10. Grahm M, Kennedy J (2008) Multiform views of multiple trees. Information visualization. In: IV’08 12th international conference, pp 252–257, 2008
11. Hofmann H, Siebes APJM, Wilhelm AFX (2000) Visualizing association rules with interactive mosaic plots. In: Proc. Sixth ACM SIGKDD Int’l conf. knowledge discovery and data mining (KDD’00), pp 227–235
12. Holten D (2006) Hierarchical edge bundles: visualization of adjacency relations in hierarchical data. Vis Comput Graph 12(5):741–748
13. Huang M, Nguyen Q (2008) Large graph visualization by hierarchical clustering. J Softw 19(8):1933–1946
14. Itoh T, Takakura H, Sawada A (2006) Hierarchical visualization of network intrusion detection data. IEEE Comput Graph Appl 26:40–47
15. Itoh T, Yamaguchi Y, Ikehata Y (2004) Hierarchical data visualization using a fast rectangle-packing algorithm. IEEE Trans Vis Comput Graph 10:302–313
16. Jia M, Swaminathan S (2009) MetNetGE: visualizing biological networks in hierarchical views and 3D tiered layouts. In: BIBMW’09: Proceedings of the IEEE international conference on bioinformatics and biomedicine workshops, pp 287–294, 2009
17. Klemettinen M, Mannila H, Ronkainen T, Verkano (1994) A finding interesting rules from large sets of discovered association rules. In: 3rd international conference on information and knowledge management (CIKM’94), ACM, Gaithersburg, 401–407, 1994
18. Lam HC, Dinov ID (2012) Hyperbolic wheel: a novel hyperbolic space graph viewer for hierarchical information content. Comput Graph 1–11
19. Lou XH, Liu SX, Wang TS (2008) FanLens: a visual toolkit for dynamically exploring the distribution of hierarchical attributes. In: PacificVis’08: Proceedings of the IEEE pacific visualization symposium, pp 151–158, 2008
20. Neumann P, Schlechtweg S, Carpendale S (2005) ArcTrees: visualizing relations in hierarchical data. In: Eurographics––IEEE VGTC symposium on visualization, pp 1–11
21. Rainsford C, Roddick J (2000) Visualization of temporal interval association rules. In: Proceedings of the 2nd international conference on intelligent data engineering and automated learning, pp 91–96, 2000
22. Sanguthevar R (2005) Efficient parallel hierarchical clustering algorithms. IEEE Trans Parallel Distrib Syst 16(6):497–502
23. Stasko J, Zhang E (2000) Focus+ context display and navigation techniques for enhancing radial, space-filling hierarchy visualizations. In: InfoVis’00: Proceedings of the IEEE symposium on information visualization pp 57–65
24. Schulz HJ, Hadlak S, Schumann H (2011) The design space of implicit hierarchy visualization: a survey. IEEE Trans Vis Comput Graph 17(4):393–411
25. Stasko J (2000) An evaluation of space-filling information visualizations for depicting hierarchical structures. Int J Human-Comput Stud 53:663–694
26. Tekusova T, Schreck T (2008) Visualizing time-dependent data in multivariate hierarchic plots—design and evaluation of an economic application. In: IV’08: Proceedings of the international conference on information visualization, pp 143–150, 2008
27. Tu Y, Shen HW (2007) Visualizing changes of hierarchical data using treemaps. IEEE Trans Vis Comput Graph 13:1286–1293
28. Wong PC, Whitney P, Thomas J (1999) Visualizing association rules for text mining. In: Proceedings of IEEE symposium on information visualization’99, pp 120–124, 1999
29. Xiao WD, Sun Y, Zhao X (2011) Survey on the research of hierarchy information visualization. J Chinese Comput Syst 1(1):137–146
30. Xu Q, Li C, Xiao B (2009) A visualization algorithm for alarm association mining. In: Network infrastructure and digital content, IC-NIDC 2009. IEEE international conference. IEEE, Beijing, pp 326–330
31. Yang L (2005) Pruning and visualizing generalized association rules in parallel coordinates. IEEE Trans Knowl Data Eng 17(1):60–70
32. Yang J, Ward MO, Rundensteiner EA (2002) Interring: an interactive tool for visually navigating and manipulating hierarchical structures. In: InfoVis’02: Proceedings of the IEEE symposium on information visualization, pp 77–84
33. Zhang X, Yuan XR (2012) Treemap visualization. J Comput-Aided Design Comput Graph 24(9):1113–1124