Spatial data infrastructures (SDIs) and data mining have been a key challenge of a modern society. SDIs as well as spatial data mining should become a topic of the annual conference EnviroInfo. The main objectives of our paper are: (1) To provide a short overview about spatial data infrastructures (definitions, goals, hierarchy of SDIs, and relations to other initiatives). (2) To describe the t...

With the growing technology, most of the focus is on spatial data mining. Spatial data mining refers to the extraction of unknown and unexpected information from spatial data sets of massive, high dimensionality and complex spatial databases. Spatial data mining is a process to discover related knowledge, potentially constructive and high utility patterns embedded in geographic Information. App...

Spatial data mining fulfils real needs of many geomatic applications. It allows taking advantage of the growing availability of geographically referenced data and their potential richness. Nowadays, spatial data mining is a clearly identified field of data mining. This article deals with the spatial data classification using a decision tree. We propose a new method called SCART. This method dif...

Spatial data refer to any data about objects that occupy real physical space. Attributes within spatial databases usually include spatial information. Spatial data refers to the numerical or categorical values of a function at different spatial locations. Spatial metadata refers to the descriptions of the spatial configuration. Application of classical association rule mining concepts to spatia...

This paper views the movements of people among locations as a spatial interaction problem, where locations interact with each other via shared visitors. The purpose of this research is to analyze the general characteristics of such spatial interactions and propose a strategy to explore and visualize such a large volume of data and reveal important patterns. The proposed strategy combines cluste...

Knowledge discovery in databases (KDD) is an important task in spatial databases since both, the number and the size of such databases are rapidly growing. This paper introduces a set of basic operations which should be supported by a spatial database system (SDBS) to express algorithms for KDD in SDBS. For this purpose, we introduce the concepts of neighborhood graphs and paths and a small set...

industrial-scale r&d it projects depend on many sub-technologies which need to be understood and have their risks analysed before the project can begin for their success. when planning such an industrial-scale project, the list of technologies and the associations of these technologies with each other is often complex and form a network. discovery of this network of technologies is time con...

The standardized visual field assessment, which measures visual function in 76 locations of the central visual area, is an important diagnostic tool in the treatment of the eye disease glaucoma. It helps determine whether the disease is stable or progressing towards blindness, with important implications for treatment. Automatic techniques to classify patients based on this assessment have had ...

Aggregation and visualization of geographical data are an important part of environmental data mining, environmental modelling, and agricultural management. However, it is difficult to aggregate geospatial data of the various formats, such as maps, census and survey data. This paper presents a framework named PlaniSphere, which can aggregate the various geospatial datasets, and synthesizes raw ...