Abstract/Description
Data visualization is an important technique used in data mining. We present the retrieved data into visual format to discover features and trends inherent to the data. Some features of the data to be retrieved are already known to us. Visualization should preserve these known features inherent to the data. Positivity is one such known feature that is inherent to most of the scientific and business data sets. For example, mass, volume and percentage concentration are meaningful only when they are positive values. However certain visualization techniques do not guarantee to preserve this feature while constructing visualization of retrieved data sets that are inherently positive. This research present a solution to the problem of positivity while visualizing the retrieved positive data sets.
Keywords
Data visualization, Information retrieval, Interpolation, Mathematical model, Optical design, Algorithm design and analysis
Location
Crystal Ball Room A, Hotel Pearl Continental, Karachi, Pakistan
Session Theme
Software and Database Systems [SDBS]
Session Type
Other
Session Chair
Dr. Akhtar Kalam
Start Date
27-8-2005 3:10 PM
End Date
27-8-2005 3:30 PM
Recommended Citation
Shoaib, M., Rehman, H. -., & Shah, D. A. (2005). Visualization of retrieved positive data using blending function. International Conference on Information and Communication Technologies. Retrieved from https://ir.iba.edu.pk/icict/2005/2005/24
Visualization of retrieved positive data using blending function
Crystal Ball Room A, Hotel Pearl Continental, Karachi, Pakistan
Data visualization is an important technique used in data mining. We present the retrieved data into visual format to discover features and trends inherent to the data. Some features of the data to be retrieved are already known to us. Visualization should preserve these known features inherent to the data. Positivity is one such known feature that is inherent to most of the scientific and business data sets. For example, mass, volume and percentage concentration are meaningful only when they are positive values. However certain visualization techniques do not guarantee to preserve this feature while constructing visualization of retrieved data sets that are inherently positive. This research present a solution to the problem of positivity while visualizing the retrieved positive data sets.
