Master of Science (MS)
Data mining is a concept of discovering meaningful patterns from large data repositories, and Data visualization is a graphical representation of data using shapes, colors and images for a better conceptualization. These two techniques have been in use for a long time now and are used together in number of fields to gain a better perception of the data. Bibliographic data is widely used in academic and scientific literature fields and this project deals with data mining and data visualization of bibliographic data downloaded from Citeseer Citation Indexing system. The downloaded metadata is extracted into the database, looking for patterns in the data. The extracted data is then queried for the search string and presented to the user using interactive visualization where the user can navigate through the records for better conceptualization of the data. The data is further color coded to define the importance of each record extracted.
Pullannagari, Deepthi, "Bibliography Data Mining and Data Visualization" (2008). Master's Projects. Paper 107.