From data mining to knowledge discovery: an overview
Advances in knowledge discovery and data mining
Geometric query types for data retrieval in relational databases
Data & Knowledge Engineering
A foundation for representing and querying moving objects
ACM Transactions on Database Systems (TODS)
Data mining: concepts and techniques
Data mining: concepts and techniques
Introduction to Implicit Surfaces
Introduction to Implicit Surfaces
Information Visualization and Visual Data Mining
IEEE Transactions on Visualization and Computer Graphics
HD-Eye: Visual Mining of High-Dimensional Data
IEEE Computer Graphics and Applications
Developments in Spatio-Temporal Query Languages
DEXA '99 Proceedings of the 10th International Workshop on Database & Expert Systems Applications
Geometric Approach to Clustering and Querying in Databases and Warehouses
CW '03 Proceedings of the 2003 International Conference on Cyberworlds
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Visualization techniques increase the user involvement in the interactive process of data mining and querying of spatio-temporal data. This paper describes a novel geometric approach to clustering and querying of spatio-temporal data. We propose the uniform geometric model based on function representation of solids to cluster and query time-dependent data. Clustering and querying are integrated with visualization techniques in one GUI. First, visual clustering with blobby model allows the user to see the result of clustering on the screen for different time points and/or time intervals and set the appropriate parameters interactively. After that, the user gets the data of clusters for the chosen time frames. Then, the user can visually query the cluster/clusters he/she is interested in with geometric primitive solids which currently are cubes, spheres/ellipsoids, cylinders, etc. Geometric operations of union, intersection and/or subtraction can be performed over the geometric primitive solids to get the final query shape. The user visually clusters spatio-temporal data and queries the clusters with geometric shapes through graphics interface accessing dynamically 3D projections of multidimensional points from database, warehouses or files.With the uniform geometric model of the clustering and querying of spatio-temporal data, 3D visualization tools can be naturally incorporated in one system to allow the user to visualize and query clusters changing over time.