Miha Cerar (2012) Taxonomy of visualizations in business intelligence. EngD thesis.
In business intelligence visual analytics plays a key role in decision making. With the help of visualization it allows quicker and more reliable decisions. Since man is always more effective in research, development and interaction between users, when in a set system, it is reasonable to ask ourselves what types of visualizations we know and how we can classify them according to different criteria. In this thesis we aim to facilitate the understanding, use and construction of automatically generated visualizations with the goal to define the taxonomy of visualizations in business intelligence, according to various criteria. Through various examples of visualization programs, we compared a variety of visualizations and as such on the basis of criteria we identified areas of visualization according to criteria depending on the type of data, shape, communications and interactive techniques.
|Item Type: ||Thesis (EngD thesis)|
|Keywords: ||Visualization, data visualization, information visualization, business intelligence, visual analysis, business analysis, time series, data mining, data warehousing, OLAP technology, dashboard, chart, table, map, criteria, taxonomy, data type, method, shape, message, techniques.|
|Number of Pages: ||84|
|Language of Content: ||Slovenian|
|Mentor / Comentors: |
|Name and Surname||ID||Function|
|prof. dr. Franc Solina||71||Mentor|
|Link to COBISS: ||http://www.cobiss.si/scripts/cobiss?command=search&base=50070&select=(ID=00009345108)|
|Institution: ||University of Ljubljana|
|Department: ||Faculty of Computer and Information Science|
|Item ID: ||1741|
|Date Deposited: ||29 Jun 2012 09:54|
|Last Modified: ||06 Sep 2012 14:55|
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