Data Mining for Selective Visualization of Large Spatial Datasets

  title={Data Mining for Selective Visualization of Large Spatial Datasets},
  author={Shashi Shekhar and Chang-Tien Lu and Pusheng Zhang and Rulin Liu},
Data mining is the process of extracting implicit, valuable, and interesting information from large sets of data. Visualization is the process of visually exploring data for pattern and trend analysis, and it is a common method of browsing spatial datasets to look for patterns. However, the growing volume of spatial datasets make it difficult for humans to browse such datasets in their entirety, and data mining algorithms are needed to filter out large uninteresting parts of spatial datasets… CONTINUE READING
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