TY - JOUR
T1 - Data mining for selective visualization of large spatial datasets
AU - Shekhar, Shashi
AU - Lu, Chang Tien
AU - Zhang, Pusheng
AU - Liu, Rulin
PY - 2002/1/1
Y1 - 2002/1/1
N2 - 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. We construct a web-based visualization software package for observing the summarization of spatial patterns and temporal trends. We also present data mining algorithms for filtering out vast parts of datasets for spatial outlier patterns. The algorithms were implemented and tested with a real-world set of Minneapolis-St. Paul(Twin Cities) traffic data.
AB - 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. We construct a web-based visualization software package for observing the summarization of spatial patterns and temporal trends. We also present data mining algorithms for filtering out vast parts of datasets for spatial outlier patterns. The algorithms were implemented and tested with a real-world set of Minneapolis-St. Paul(Twin Cities) traffic data.
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U2 - 10.1109/TAI.2002.1180786
DO - 10.1109/TAI.2002.1180786
M3 - Article
AN - SCOPUS:0036924326
SN - 1063-6730
SP - 41
EP - 48
JO - Proceedings of the International Conference on Tools with Artificial Intelligence
JF - Proceedings of the International Conference on Tools with Artificial Intelligence
ER -