The MCountP-Tree for Mining Maximal Spatial Co-Location Patterns from Spatial Data Sets
碩士 === 國立中山大學 === 資訊工程學系研究所 === 101 === In recent years, the geographic information system (GIS) databases develop quickly and play a significant role in many applications. How to efficient mine the maximal co-location patterns in the explosive growth of spatial data is an important issue in spatial...
| Main Authors: | , |
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| Other Authors: | |
| Format: | Others |
| Language: | en_US |
| Published: |
2013
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| Online Access: | http://ndltd.ncl.edu.tw/handle/37059201510721094312 |