Add to ORKGAbstract: spatial database system as a database system that offers spatial data types in its data model and query language and supports spatial data types in its implementation, providing at least spatial indexing and spatial join methods. Spatial database systems offer the underlying database technology for geographic information systems and other applications. Here we focus on frequent positive association rule mining and frequent negative association rule mining for finding frequent and not frequent data with less time consuming. I
Association rule is an important model in data mining. It describes the relationship between predica...
Owing to the GIS technology, a vast volume of spatial data has been accumulated, thereby incurring t...
Census data mining has great potential both in business development and in good public policy, but s...
In spatial data mining, a common task is the discovery of spatial association rules from spatial dat...
ABSTRACT Emergence of data mining methods in data representation has resulted in discovering knowled...
Abstract – In this article presenting the environment of spatial data mining and classifications of ...
Today there are several skilled algorithms to mine frequent patterns. Frequent item set mining provi...
Spatial data mining is a mining knowledge from large amounts of spatial data. Spatial data mining al...
Spatial data mining is the process of discovering interesting and useful patterns from a large spati...
The rapid growth in the amount of spatial data available in Geographical Information Systems has giv...
Data mining refers to a process of analyzing data from different perspectives and summarizing it int...
Association rule is an important model in data mining. It describes the relationship between predica...
In the past few decades, clustering has been widely used in areas such as pattern recognition, data ...
In spatial data mining, a common task is the discovery of spatial association rules from spatial dat...
Spatial data mining is a new and rapidly developing technique for analyzing geographical data. In t...
Association rule is an important model in data mining. It describes the relationship between predica...
Owing to the GIS technology, a vast volume of spatial data has been accumulated, thereby incurring t...
Census data mining has great potential both in business development and in good public policy, but s...
In spatial data mining, a common task is the discovery of spatial association rules from spatial dat...
ABSTRACT Emergence of data mining methods in data representation has resulted in discovering knowled...
Abstract – In this article presenting the environment of spatial data mining and classifications of ...
Today there are several skilled algorithms to mine frequent patterns. Frequent item set mining provi...
Spatial data mining is a mining knowledge from large amounts of spatial data. Spatial data mining al...
Spatial data mining is the process of discovering interesting and useful patterns from a large spati...
The rapid growth in the amount of spatial data available in Geographical Information Systems has giv...
Data mining refers to a process of analyzing data from different perspectives and summarizing it int...
Association rule is an important model in data mining. It describes the relationship between predica...
In the past few decades, clustering has been widely used in areas such as pattern recognition, data ...
In spatial data mining, a common task is the discovery of spatial association rules from spatial dat...
Spatial data mining is a new and rapidly developing technique for analyzing geographical data. In t...
Association rule is an important model in data mining. It describes the relationship between predica...
Owing to the GIS technology, a vast volume of spatial data has been accumulated, thereby incurring t...
Census data mining has great potential both in business development and in good public policy, but s...