1413 search results - page 118 / 283 » Mining Multiple Large Databases |
221
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GIS
2007
ACM
16 years 3 months ago
2007
ACM
The development of areas such as remote and airborne sensing, location based services, and geosensor networks enables the collection of large volumes of spatial data. These datase...
CINQ
2004
Springer
15 years 7 months ago
2004
Springer
Mining Frequent Itemsets is the core operation of many data mining algorithms. This operation however, is very data intensive and sometimes produces a prohibitively large output. I...
214
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GIS
2004
ACM
16 years 3 months ago
2004
ACM
Spatial co-location patterns represent the subsets of events whose instances are frequently located together in geographic space. We identified the computational bottleneck in the...
203
Voted
GIS
2008
ACM
16 years 3 months ago
2008
ACM
In this paper, we discuss an application of spatial data mining to predict pedestrian flow in extensive road networks using a large biased sample. Existing out-of-the-box techniqu...
238
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ICDE
2009
IEEE
16 years 3 months ago
2009
IEEE
One of the most challenging aspects of managing a very large data warehouse is identifying how queries will behave before they start executing. Yet knowing their performance charac...