Pattern discovery: A progressive visual analytic design to support categorical data analysis

Journal of Visual Languages & Computing - Tập 43 - Trang 42-49 - 2017
Hanqing Zhao1, Huijun Zhang2, Yan Liu1, Yongzhen Zhang3, Xiaolong (Luke) Zhang1,4
1Pennsylvania State University, USA
2Taiyuan University of Technology and Communication, University of Shanxi, China
3Shanxi Tumor Hospital, China
4Taiyuan University of Technology, China

Tài liệu tham khảo

2008, 4950 Zhang, 2013, Opportunities of innovation under challenges of big data, 669 Liu, 2015, Visualizing high-dimensional data: advances in the past decade, 1115 Angelini, 2014, Towards a visualization process model for online visualization, 14 H.J. Schulz, M. Angelini, G. Santucci, H. Schumann, An enhanced visualization process model for incremental visualization. Angelini, 2013, Modeling incremental visualizations, 13 Hellerstein, 1999, Interactive data analysis: the control project, Computer, 32, 51, 10.1109/2.781635 Fisher, 2011, Incremental, approximate database queries and uncertainty for exploratory visualization, 73 Rosenbaum, 2007, Chances and limits of progression in visualization, 183 Rosenbaum, 2012, Progressive parallel coordinates, 25 Glueck, 2014, Dive in!: enabling progressive loading for real-time navigation of data visualizations, 561 Rosenbaum, 2009, Progressive refinement: more than a means to overcome limited bandwidth, 72430I Haas, 1999, Ripple joins for online aggregation, ACM SIGMOD Record, 28, 287, 10.1145/304181.304208 K. Li, On integrating information visualization techniques into data mining: a review, (2015). Preprint arXiv:1503.00202. Stolper, 2014, Progressive visual analytics: user-driven visual exploration of in-progress analytics, IEEE Trans. Visual. Comput. Graphics, 20, 1653, 10.1109/TVCG.2014.2346574 Thomson, 2005, A typology for visualizing uncertainty, 2005, 146 Jermaine, 2006, The sort-merge-shrink join, ACM Trans. Database Syst. (TODS), 31, 1382, 10.1145/1189769.1189775 Joshi, 2008, Materialized sample views for database approximation, IEEE Trans. Knowl. Data Eng., 20, 337, 10.1109/TKDE.2007.190664 Olston, 2002, Visualizing data with bounded uncertainty, 37 E. Bertini, J. Kennedy, E. Puppo, Interaction with uncertainty in visualisations. Streit, 2008, A spreadsheet approach to facilitate visualization of uncertainty in information, IEEE Trans. Visual. Comput. Graphics, 14, 61, 10.1109/TVCG.2007.70426 Heer, 2007, Animated transitions in statistical data graphics, IEEE Trans. Visual. Comput. Graphics, 13, 1240, 10.1109/TVCG.2007.70539 Baudisch, 2006, Phosphor: explaining transitions in the user interface using afterglow effects, 169 Muhlbacher, 2014, Opening the black box: strategies for increased user involvement in existing algorithm implementations, IEEE Trans. Visual. Comput. Graphics, 20, 1643, 10.1109/TVCG.2014.2346578 Barnett, 2013, Stat!: an interactive analytics environment for big data, 1013 Hetzler, 2005, Turning the bucket of text into a pipe, 89 Fisher, 2012, Trust me, I'm partially right: incremental visualization lets analysts explore large datasets faster, 1673 Fisher, 2012, Exploratory visualization involving incremental, approximate database queries and uncertainty, IEEE Comput. Graphics Appl., 55, 10.1109/MCG.2012.48 Yoo, 2012, Data mining in healthcare and biomedicine: a survey of the literature, J. Med. Syst., 36, 2431, 10.1007/s10916-011-9710-5 Agrawal, 1993, Mining association rules between sets of items in large databases, ACM SIGMOD Record, 22, 207, 10.1145/170036.170072 A. Savasere, E.R. Omiecinski, S.B. Navathe, An efficient algorithm for mining association rules in large databases, (1995). Park, J.S., Chen, M.S., & Yu, P.S. An effective hash-based algorithm for mining association rules (Vol. 24, No. 2, pp. 175–186). ACM, (1995). J. Kamani Gautam, Y.R. Ghodasara, V.S. Parsania. Mining frequent itemset using parallel computing Apriori algorithm (Vol. 2, Issue 12), (2014). Nahar, 2013, Association rule mining to detect factors which contribute to heart disease in males and females, Expert Syst. Appl., 40, 1086, 10.1016/j.eswa.2012.08.028