Name
Title | ||
|---|---|---|
A novel approach of multilevel positive and negative association rule mining for spatial databases |
Abstract | ||
|---|---|---|
Spatial data mining is a demanding field since huge amounts of spatial data have been collected in various applications, ranging form Remote Sensing to GIS, Computer Cartography, Environmental Assessment and Planning. Although there have been efforts for spatial association rule mining, but mostly researchers discuss only the positive spatial association rules; they have not considered the spatial negative association rules. Negative association rules are very useful in some spatial problems and are capable of extracting some useful and previously unknown hidden information. We have proposed a novel approach of mining spatial positive and negative association rules. The approach applies multiple level spatial mining methods to extract interesting patterns in spatial and/or non-spatial predicates. Data and spatial predicates/association-ship are organized as set hierarchies to mine them level-by-level as required for multilevel spatial positive and negative association rules. A pruning strategy is used in our approach to efficiently reduce the search space. Further efficiency is gained by interestingness measure. |
Year | DOI | Venue |
|---|---|---|
2005 | 10.1007/11510888_61 | MLDM |
Keywords | Field | DocType |
spatial predicate,novel approach,spatial association rule mining,multiple level spatial mining,spatial problem,spatial negative association rule,spatial data,spatial databases,negative association rule mining,spatial data mining,negative association rule,positive spatial association rule,environmental assessment,remote sensing,association rule,search space,association rule mining,spatial database | Spatial analysis,Data mining,Negative association,Geographic information system,Computer science,Association rule learning,Rule mining,Information extraction,Artificial intelligence,Hierarchy,Spatial database,Machine learning | Conference |
Volume | ISSN | ISBN |
3587 | 0302-9743 | 3-540-26923-1 |
Citations | PageRank | References |
6 | 0.51 | 5 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| L. K. Sharma | 1 | 6 | 1.18 |
| O. P. Vyas | 2 | 121 | 14.28 |
| U. S. Tiwary | 3 | 15 | 2.56 |
| R. Vyas | 4 | 6 | 0.51 |