Behaviour of objects are determined from collections of responses, reactions, movements, properties, which are noted as attributes along with time and location in some spatial dataset. Behavioural Pattern finds a set of objects having similar behaviour. We have explored all types of possible measures to define similarity among objects having some similar features. Objects from same entity will have same set of features, whereas objects from different entity may have some similar features. A similarity measure has been proposed for mining behavioural patterns in different entity set. An approach for computing behavioural patterns is also proposed in this paper. Recent applications are focusing to understand the interaction between objects fr...
Abstract—Huge amount of spatiality data is being collected in various applications like remote sensi...
For using Data Mining, especially cluster analysis, one needs measures to determine the similarity o...
The increasing pervasiveness of location-acquisition technologies (GPS, GSM networks, etc.) is leadi...
Spatial data mining is the quantitative study of phenomena that are located in space. This paper in...
Spatial data mining is a mining knowledge from large amounts of spatial data. Spatial data mining al...
Mobile objects are now equipped with sensors allowing real time monitoring of their movements. Nowad...
Similarity measures are central to human cognition (Tversky, 1977) and have long been a central aspe...
Spatial Data Mining (SDM) has great potential in supporting public policy and in underpinning societ...
Spatial movement data nowadays is becoming ubiquitously available, including data of animals, vehicl...
Extracting meaningful patterns from large databases is a relevant task in several areas of geographi...
Co-location patterns in spatial dataset are the interesting collection of dissimilar objects which a...
Trajectory pattern mining is becoming increasingly popular because of the development of ubiquitous ...
In data mining, the task-specific performances of conventional distance-based similarity measures va...
National audienceMobile objects are now equipped with sensors allowing real time monitoring of their...
A spatial co-location pattern denotes a subset of spatial features whose instances frequently appear...
Abstract—Huge amount of spatiality data is being collected in various applications like remote sensi...
For using Data Mining, especially cluster analysis, one needs measures to determine the similarity o...
The increasing pervasiveness of location-acquisition technologies (GPS, GSM networks, etc.) is leadi...
Spatial data mining is the quantitative study of phenomena that are located in space. This paper in...
Spatial data mining is a mining knowledge from large amounts of spatial data. Spatial data mining al...
Mobile objects are now equipped with sensors allowing real time monitoring of their movements. Nowad...
Similarity measures are central to human cognition (Tversky, 1977) and have long been a central aspe...
Spatial Data Mining (SDM) has great potential in supporting public policy and in underpinning societ...
Spatial movement data nowadays is becoming ubiquitously available, including data of animals, vehicl...
Extracting meaningful patterns from large databases is a relevant task in several areas of geographi...
Co-location patterns in spatial dataset are the interesting collection of dissimilar objects which a...
Trajectory pattern mining is becoming increasingly popular because of the development of ubiquitous ...
In data mining, the task-specific performances of conventional distance-based similarity measures va...
National audienceMobile objects are now equipped with sensors allowing real time monitoring of their...
A spatial co-location pattern denotes a subset of spatial features whose instances frequently appear...
Abstract—Huge amount of spatiality data is being collected in various applications like remote sensi...
For using Data Mining, especially cluster analysis, one needs measures to determine the similarity o...
The increasing pervasiveness of location-acquisition technologies (GPS, GSM networks, etc.) is leadi...