Sentence examples for spatial data mining from inspiring English sources

GeoDMA uses decision-tree strategies adapted for spatial data mining.

Spatial outlier detection is a research hot spot in the field of spatial data mining.

The resulting mapping methodology sets a standard for a variety of spatial data mining tasks.

Spatial data mining method is proposed to solve site selection of the service center.

This paper presents a spatial data mining approach, by which a possible heavy rainfall forecast can be made, based on MCS tracking using remote sensing satellite images.

Then, a novel two-phase spatial data mining framework is designed to enable the deduction of the correlations and causalities between MCS activities and possible heavy rainfall occurrences.

The work given in [19] is relevant because it presents sources of uncertainty in spatial-data mining, and these sources can also be viewed as sources of data quality problems.

And more traditional methods can be used to overcome the 'digital divide', by making data available in other methods, such as web, or even TV and Radio (e.g., high pollen warnings, dust, etc).. Furthermore, data privacy issues need to be addressed in a spatial-temporal data mining context.

An automatic system "CQuake" has been developed to carry out spatial and temporal data mining analysis in real time.

The simplicity along with the effectiveness of the k-nearest neighbors (kNN) algorithm, have motivated many research communities over the years with numerous applications and scientific approaches which exploit or improve its potential, especially in spatial databases and data mining.

This paper is at the border between several disciplines related to urban data science, including urban data mining, spatial economics and mobility studies on taxi datasets.