A review on Visualization Approaches of Data mining in heavyspatial databases
Journal Title: IOSR Journals (IOSR Journal of Computer Engineering) - Year 2015, Vol 17, Issue 1
Abstract
Abstract: Data mining is the phenomenon to extract and recognized the new required pattern or types from thelarge data seta or data bases and whatever required data is being extracted and separated from large databases then it is stored and that needs to give some sort of briefing via visualization and its techniques and then itis being recognized it important pattern and analysis identifications. And which is having a very commonmethodology of displaying the spatial data bases or data sets to search for the required pattern. no doubt itsquit typical to search and browse the spatial data bases for human beings to browse and identify from a suchhuge collection of data bases. There for data mining algorithmic techniques is applied to filter and sort out thespatial data sets as per the requirements .A new web based visualization application is being devolved forsupervising of spatial patterns and temporal, Data mining algorithm for sorting and searching from largespatial data sets also being presenting and that algorithm is tested on real time experienced. Hence in this papera review is being presented on visualization approaches of data mining in large spatial data sets
Authors and Affiliations
Sayyada Sara Banu , Dr. Perumal Uma, , Mohammed Waseem Ashfaque, , Quadri S. S Ali Ahmed
Keywords
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