Due to the increasing need of extracting relevant information from data and also increasing the growth of data, we motivated design data visualization tool that handle this requirement. The main goal of our work is aggregate a large amounts of data and verifying extracted quality of entities (i.e. Conference/Journal, Paper, Author, key Word) from normalizing the data. The dataset gathered from IEEE digital library that consists of publisher, name of Journal/Conference, authors name, year of publishing, title of paper, Keyword and citation for many papers. The application includes four main components. 1. Dependency nested rings that represent total data of our dataset entirely such that nodes are conference/journal names, paper name, key word and author from inner ring to outer ring respectively. 2. Text part that expresses the description about considered node. 3. Radar chart that visuals the quality each entity based on some criteria. 4. Scatter plot that display two variables rank (Y-axis) and year (X-axis) for each entities separately.Now you can see the mentioned articles in bellow parts.
Rank of Papers
Data Visualization
Professor: Raquel C. de Melo Minardi
This project has been designed and implemented by: Roozbeh Haghnazar
Universidade Federal de Minas Gerais
DCC - Nov. 2014