Fatih Akdag

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Polygons can serve an important role in the analysis of geo-referenced data as they provide a natural representation for particular types of spatial objects and in that they can be used as models for spatial clusters. This paper claims that polygon analysis is particularly useful for mining related, spatial datasets. A novel methodology for clustering(More)
Gridded datasets are quite common in scientific computing as many disciplines produce large amounts of samples relying on regular spatial grid-structures that identify locations where measurements are taken. Very large gridded datasets with a lot of variables and measurements pose challenging problems on how to store, query, summarize, visualize and mine(More)
We define interestingness hotspots as contiguous regions in space which are interesting based on a domain expert's notion of interestingness captured by an interestingness function. This paper centers on finding interestingness hotspots on very large gridded datasets which are quite common in scientific computing. Mining large gridded datasets with a lot of(More)
Polygons can serve an important role in the analysis of georeferenced data as they provide a natural representation for particular types of spatial objects and in that they can be used as models for spatial clusters. This paper claims that polygon analysis is particularly useful for mining related, spatial datasets. A novel methodology for clustering(More)
Polygons can serve an important role in the analysis of georeferenced data as they provide a natural representation for particular types of spatial objects and in that they can be used as models for spatial clusters. This paper claims that polygon analysis is particularly useful for mining related, spatial datasets. A novel methodology for clustering(More)
In general, it is desirable to have automatic tools that identify places in spatial data and to describe their characteristics, creating high-level summaries for spatial datasets which are valuable for planners, scientists, and policy makers. In this paper, we present a methodology that identifies a set of places based on a user-defined notion of(More)
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