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- * Evaluation measures and canonical datasets for data visualization ...2 KB (317 words) - 13:52, 16 May 2011
- ...lization of Wikipedia’s impact. The goal of the competition is to use open datasets to help improve our understanding of how Wikipedia is affecting the world b ...3 KB (375 words) - 12:25, 6 July 2011
- * emerging challenges, for example, connectome datasets. ...3 KB (404 words) - 10:45, 4 April 2012
- ...re and so on. These data first had to be cleaned because like in all large datasets there have been a lot of anomalies. Finally the data was stored in a relati ...3 KB (498 words) - 14:00, 4 May 2008
- ...ation tool based on multiple coordinated views to explore multidimensional datasets using the following techniques: treemap, scatterplot and parallel coordinat ...3 KB (458 words) - 19:11, 9 June 2008
- You will be responsible for transforming complex datasets and computational models into understandable and engaging visualizations an ...3 KB (474 words) - 11:56, 3 November 2012
- ...ols built by others such as ManyEyes, Tableau, or Excel! If necessary, the datasets can be anonymized, but no synthetic data is allowed. ...4 KB (581 words) - 18:02, 16 June 2011
- ...day’s best 2D surface computing interfaces can be extended to work with 3D datasets, applications, and physical spaces. ...3 KB (450 words) - 21:56, 23 May 2012
- ...istory of strong contribution in working with scalable systems, very large datasets and integrating software tools into larger systems to solve complex problem ...4 KB (443 words) - 00:16, 2 June 2010
- ...-data interaction and decision-making—e.g., navigating and making sense of datasets; interpreting, selecting, constructing, and/or validating machine learning ...3 KB (374 words) - 22:57, 23 February 2017
- ...r goals are to improve the analysis and visualization of large and complex datasets by combining analysis methods with interactive visualizations (see http://w ...4 KB (587 words) - 10:38, 11 October 2012
- ...istory of strong contribution in working with scalable systems, very large datasets and integrating software tools into larger systems to solve complex problem ...4 KB (533 words) - 23:37, 10 October 2008
- ...edge. Indeed, the Big Data era has realized the availability of voluminous datasets that are dynamic, noisy and heterogeneous in nature. Transforming a data-cu ...d nowadays offer scalable techniques to efficiently handle billion objects datasets, limiting the visual response in a few milliseconds along with mechanisms f ...6 KB (854 words) - 21:13, 17 October 2019
- ...edge. Indeed, the Big Data era has realized the availability of voluminous datasets that are dynamic, noisy and heterogeneous in nature. Transforming a data-cu ...d nowadays offer scalable techniques to efficiently handle billion objects datasets, limiting the visual response in a few milliseconds along with mechanisms f ...6 KB (854 words) - 21:15, 17 October 2019
- ...e] is an interactive visualization environment to explore large or complex datasets. ...ber analysts use it to detect and investigate threats in large and complex datasets. ...12 KB (1,681 words) - 17:53, 8 November 2018
- ...ytes of data in near term. This includes not only static, but also dynamic datasets (where data is continuously streamed and need to be analyzed in real time). ...4 KB (612 words) - 13:13, 6 April 2011
- interpret the large and diverse datasets being generated by Agilent's ...5 KB (634 words) - 14:20, 8 November 2011
- Groups can share the task load of exploring large and complex datasets ...6 KB (761 words) - 21:28, 1 July 2009
- Groups can share the task load of exploring large and complex datasets ...6 KB (761 words) - 21:32, 1 July 2009
- *possibly extracted from far larger datasets ...is field focuses on creating innovative graphical displays for complicated datasets, such as census results, scientific data, and databases. An example problem ...12 KB (1,615 words) - 12:01, 15 August 2013