INFORMATION VISUALIZATION METHODS, AND INTERACTIVE MECHANISMS
DOI:
https://doi.org/10.59367/5ykv9k72Keywords:
Information Visualization, Data Visualization, Interactive MechanismsAbstract
With vacuity of enough visualization ways, it can be veritably confusing to know what and when should be applicable fashion to use in order to convey maximum possible understanding. The introductory purpose of visual representation is to efficiently interpret what's sapience, as easy as possible. Different available visualization ways are used for different situation which convey different position of understanding. This document is companion for the youthful experimenters who wants to start work in visualization. The purpose of this piece of document is to collect all visualization ways with their brief preface. This paper deals with numerous delineations and aspects of visualization, how visualization take place i.e. different way of visualization process, problems that are defy in visualization, categorization of visualization ways on the bases of distinct perspective, generally known common data and information visualization ways, introductory interactive styles for visualization their advantages and disadvantages, interactivity process, and the compass of visualization up to some extent in different field of exploration.
References
Chris North, “Information Visualization”, Center for Human-Computer Interaction, Department of Computer Science Virginia Polytechnic Institute and State University Blacksburg, VA 24061 USA
Ware, C. (2004). “Information Visualization: Perception for Design”, Morgan Kaufmann.
Spence, R. (2001). “Information Visualization”, AddisonWesley.
Beatriz Sousa Santos, “Evaluating Visualization techniques and tools: what are the main issues?”.
North, C. (2005). “Toward Measuring Visualization Insight. IEEE Computer Graphics and Applications”, vol. 11, no. 4, pp. 443-456
S. Card, J. MacKinlay, and B. Shneiderman, (1998). “Readings in Information Visualization: Using Vision to Think”. Morgan Kaufmann.
Alfredo R. Teyseyre and Marcelo R. Campo, (2009). “An Overview of 3D Software Visualization”, IEEE Transactions on Visualization and Computer Graphics, vol.15, No.1.
E.R. Tufte, (1997). “Visual Explanations: Images and Quantities, Evidence and Narrative”, Graphics Press, 1997.
D.M. Butler, J.C. Almond, R.D. Bergeron, K.W. Brodlie , and A.B. Haber, (1993). “Visualization Reference Models”, Proc. Fourth IEEE Conf. Visualization, G.M. Nielson and D. Bergeron, eds., pp. 337-342.
WebSter Dictionary: www.websterdictionary.org/definition/visualization
L. Chittaro, (2006). “Visualizing Information on Mobile Devices”, ACM Computer, v.39 n.3, p.40-45.
Plaisant C, (2004). “The Challenge of Information Visualization Evaluation”, Proceedings of AVI 2004: 6th International Conference on Advanced Visual Interfaces, ACM Press, New York, 2004, pp. 109-116
Chittaro L. (2004). “Special Issue on HCI Aspects of Mobile Devices and Services”, Personal and Ubiquitous Computing Journal, Vol. 8, No.2.
Chaomei Chen, (2005). “Top 10 Unsolved Information Visualization Problems”, IEEE Computer Graphics and Applications, 2005.
D. Harel and Y. Koren, (2000). “A Fast Multiscale Method for Drawing Large Graphs”, Proc. 8th Int’l Symp. Graph Drawing,2000, pp. 183-196
P.C. Wong et al. (2003). “Dynamic Visualization of Transient Data Streams”, Proc. IEEE Symp. Information Visualization, IEEE CS Press, 2003, pp. 97-104.
WebSter Dictionary: www.websterdictionary.org/definition/aesthetic
C. Chen, (2004). “Information Visualization: Beyond the Horizon”, 2nd ed., Springer, 2004 . C. Johnson, (2004). “Top Scientific Visualization Research Problems”, IEEE Computer Graphics and Applications, vol. 24, no. 4, pp. 13-17, July/Aug. 2004.
Michael Friendly, (2008). "Milestones in the history of thematic cartography, statistical graphics, and data visualization", http://www.math.yorku.ca/SCS/Gallery/milestone/mileston e.pdf.
Smashing Magazine: www.smashingmagazine.com/2007/08/02/data-visualization-modern-approaches/comment-page1/#comment-559828
Bederson, B. B., & Shneiderman, B. (2003). “The craft of information visualization: readings and re flections”, San Francisco, CA: Morgan Kaufmann Publishers
J. J. Thomas and K. A. Cook, (2006). “A Visual Analytics Agenda”, IEEE Transactions on Computer Graphics and Applications, 26(1):12–19, January/February 2006
Oliveira, M.C., Levkowitz, H. (2003). “Visual Data Exploration to Visual Data Mining: A Survey”, IEEE Transaction on Visualization and Computer Graphs 9(3), 378–394 (2003)
A Fink, (2008). “How to conduct surveys: A step-by-step guide”, Sage Publications, Inc.
Morgan, George (2004). “SPSS for Introductory Statistics”. Hillsdale: Lawrence Erlbaum
Muzammil Khan, Mushtaq Raza, and Nasir Rashid (2010). “Appropriate Length of Text Line with Special Relationship to Eye Blink to Reduce Maximum Focus Loss”. International Conference on Internet Computing 2010: 97-102
P.E. Hoffman, (1999). “Table Visualizations: A Formal Model and Its Applications”, doctoral dissertation, Computer Science Dept., Univ. of Massachusetts at Lowell, 1999.
Adobe Flex, Advanced Data Visualization Developer Guide [31].Clark Jeff, (2006). Multi-level Pie Charts. www.neoformix.com/2006/MultiLevelPieChart.html
Stephen Few, (2007). “Save the Pies for Dessert”, Perceptual Edge Visual Business Intelligence Newsletter August 2007. [33].Spence, I. (2005). “The origins and usage of a statistical chart”, Journal of Educational and Behavioral Statistics, 30, 353-368
Pearson, K. (1895). “Contributions to the Mathematical Theory of Evolution. II. Skew Variation in Homogeneous Material”, Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences 186: 343–326
Howitt, D. and Cramer, D. (2008). “Introduction to Statistics in Psychology”, Prentice Hall.
Burton G . Andreas (1965). “Experimental psychology” . page.186
Neil J. Salkind (2006). “Statistics for People who (think they) Hate Statistics: The Excel Edition”. Page 106.
Online Microsoft Excel Help: http://office.microsoft.com/en-us/excel-help/creating-abubble-chart-HA001117076.aspx
Jeff Berman (2007). “Maximizing project value: defining, managing, and measuring for optimal return”, AMACOM Div American Mgmt Assn, 2007. Page .63-64.
Utts, Jessica M. (2005). “Seeing Through Statistics”, 3rd Edition, Thomson Brooks/Cole, 2005, pp 166-167
Zach Gemignani, (2010). “Better Know a Visualization: Parallel Coordinates”, www.juiceanalytics.com/writing/parallel-coordinates/
Stephen Few, (2006). “Multivariate Analysis Using Parallel Coordinates”, September 12, 2006.
LowleshNandkishor Yadav, “Predictive Acknowledgement using TRE System to reduce cost and Bandwidth” IJRECE VOL. 7 ISSUE 1 ( JANUARY-MARCH 2019 ) pg no 270-278
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