Author: Umeshwar Dayal

Publications

Co-authors

Meichun Hsu

3

Daniel A. Keim

7

Ming C. Hao

9

Productive Colleagues

Lei Zhang

50

Chengxiang Zhai

64

Markus H. Gross

69

Publications

Hao, Ming C., Keim, Daniel A., Dayal, Umeshwar, Oelke, Daniela, Tremblay, Chantal (2008): Density Displays for Data Stream Monitoring. In Comput. Graph. Forum, 27 (3) pp. 895-902. https://dx.doi.org/10.1111/j.1467-8659.2008.01222.x

Casati, Fabio, Shan, Eric, Dayal, Umeshwar, Shan, Ming-Chien (2003): Business-oriented management of Web services. In Communications of the ACM, 46 (10) pp. 55-60. https://dl.acm.org/doi/10.1145/944217.944238

Chaudhuri, Surajit, Dayal, Umeshwar, Ganti, Venkatesh (2001): Database Technology for Decision Support Systems. In IEEE Computer, 34 (12) pp. 48-55. https://csdl.computer.org/computer/co2001/rz048abs.htm

Pinto, Helen, Han, Jiawei, Pei, Jian, Wang, Ke, Chen, Qiming, Dayal, Umeshwar (2001): Multi-Dimensional Sequential Pattern Mining. In: Proceedings of the 2001 ACM CIKM International Conference on Information and Knowledge Management November 5-10, 2001, Atlanta, Georgia, USA. pp. 81-88. https://

Hao, Ming C., Keim, Daniel A., Dayal, Umeshwar (2004): VisBiz: A Simplified Visualization of Business Operation. In: VIS 2004 - 15th IEEE Visualization 2004 Conference 10-15 October, 2004, Austin, TX, USA. pp. 1. https://csdl.computer.org/comp/proceedings/vis/2004/8788/00/87880001pabs.htm

Hao, Ming C., Dayal, Umeshwar, Hsu, Meichun, Baker, Jim, Deletto, Bob (1999): A Java-Based Visual Mining Infrastructure and Applications. In: InfoVis 1999 , 1999, . pp. 124-127. https://csdl.computer.org/comp/proceedings/infovis/1999/0431/00/04310124abs.htm

Hao, Ming C., Dayal, Umeshwar, Keim, Daniel A., Schreck, Tobias (2005): Importance-Driven Visualization Layouts for Large Time Series Data. In: InfoVis 2005 - IEEE Symposium on Information Visualization 23-25 October, 2005, Minneapolis, MN, USA. pp. 27. https://doi.ieeecomputersociety.org/10.1109/INFOVIS.2005.20

Hao, Ming C., Keim, Daniel A., Dayal, Umeshwar, Schneidewind, Jorn (2004): Interactive Poster: Visual Mining of Business Process Data. In: InfoVis 2004 - 10th IEEE Symposium on Information Visualization 10-12 October, 2004, Austin, TX, USA. https://csdl.computer.org/comp/proceedings/infovis/2004/8779/00/8779p10abs.htm

Keim, Daniel A., Hao, Ming C., Ladisch, Julian, Hsu, Meichun, Dayal, Umeshwar (2001): Pixel Bar Charts: A New Technique for Visualizing Large Multi-Attribute Data Sets without . In: InfoVis 2001 , 2001, . pp. 113-. https://csdl.computer.org/comp/proceedings/infovis/2001/1342/00/13420113abs.htm

Hao, Ming C., Dayal, Umeshwar, Keim, Daniel A., Schreck, Tobias (2007): Multi-Resolution Techniques for Visual Exploration of Large Time-Series Data. In: Museth, Ken, Moller, Torsten, Ynnerman, Anders (eds.) EuroVis07 Joint Eurographics - IEEE VGTC Symposium on Visualization 23-25 May, 2007, Norrköping, Sweden. pp. 27-34. https://dx.doi.org/10.2312/VisSym/EuroVis07/027-034

Hao, Ming C., Keim, Daniel A., Dayal, Umeshwar, Schneidewind, Jorn (2005): VisBiz: A Business Process Visualization Case Study. In: Brodlie, Ken, Duke, David J., Joy, Kenneth I. (eds.) EuroVis05 Joint Eurographics - IEEE VGTC Symposium on Visualization 1-3 June, 2005, Leeds, United Kingdom. pp. 109-116. https://dx.doi.org/10.2312/VisSym/EuroVis05/109-116

Hao, Ming C., Dayal, Umeshwar, Cotting, Daniel, Holenstein, Thomas, Gross, Markus H. (2003): Accelerated Force Computation for Physics-Based Information Visualization. In: VisSym 2003 - Symposium on Visualization May 26-28, 2003, Grenoble, France.

Lu, Yue, Castellanos, Malu, Dayal, Umeshwar, Zhai, Chengxiang (2011): Automatic construction of a context-aware sentiment lexicon: an optimization approach. In: Proceedings of the 2011 International Conference on the World Wide Web , 2011, . pp. 347-356. https://dx.doi.org/10.1145/1963405.1963456

Castellanos, Malu, Ghosh, Riddhiman, Lu, Yue, Zhang, Lei, Ruiz, Perla, Dekhil, Mohamed, Dayal, Umeshwar, Hsu, Meichun (2011): LivePulse: tapping social media for sentiments in real-time. In: Proceedings of the 2011 International Conference on the World Wide Web , 2011, . pp. 193-196. https://dx.doi.org/10.1145/1963192.1963287