Discovering colocation patterns from spatial data sets: a general approach

A Framework for Discovering Co-Location Patterns in Data Sets with Extended Spatial Objects

Discovering Emerging Patterns in Spatial Databases: A Multi-relational Approach

Spatial Data Mining (SDM) has great potential in supporting public policy and in underpinning society functioning. One task in SDM is the discovery of characterization and peculiarities of communities sharing socio-economic aspects in order to identify potentialities, needs and public intervention. Emerging patterns (EPs) are a special kind of pattern which contrast two classes. In this paper, ...

Discovering Spatial Interaction Patterns

Advances in sensing and satellite technologies and the growth of Internet have resulted in a vast amount of uncertain spatial data. Extracting interaction patterns from these uncertain data is a challenging task. In this paper, we propose to model the spatial features in a continuous space through the use of influence functions. For each feature type, we build an influence map that captures the...

Technology for Discovering Interesting Regions in Spatial Data Sets

Finding interesting documents on the Internet has been major focus of recent research and commercial projects. For example, GOOGLE became famous for building search engines that can efficiently navigate through millions of documents and return a ranked set of documents based on user interests and user feedback. Earth scientists are interested to have similar capabilities to search for interesti...

Event Centric Modeling Approach in Colocation Pattern Snalysis from Spatial Data

Spatial co-location patterns are the subsets of Boolean spatial features whose instances are often located in close geographic proximity. Co-location rules can be identified by spatial statistics or data mining approaches. In data mining method, Association rule-based approaches can be used which are further divided into transaction-based approaches and distance-based approaches. Transaction-ba...