582364 Data mining, 4 cu Lecture 9:
582364 Data mining, 4 cu Lecture 9:
582364 Data mining, 4 cu Lecture 9:
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Reference feature centric co-location <strong>mining</strong><br />
1. Choose one point pattern as the<br />
reference (e.g. ‘Viking-age forts’)<br />
2. Define a neighbourhood of each<br />
point in the reference pattern<br />
� neighborhoods as transactions<br />
� objects in each neighborhood as<br />
items<br />
3. Use itemset <strong>mining</strong> algorithms to<br />
find frequent patterns<br />
� Useful for applications where there<br />
is an natural choice for the<br />
reference phenomenon<br />
<strong>Data</strong> <strong>mining</strong>, Spring 2010 (Slides adapted from Han & Kamber + Antti Leino)
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