spatial database systemassociation rulesGeovisualization in spatial data mining is one of the main methods that has recently been the subject of knowledge discovery research in geographic information science. G
Sander. Spatial data mining: a database approach. Proc. 5th Int. Symp. on Spatial Databases (SSD), 47-66, 1997.Easter M, Hans - Peter K, Sanuer J. Spatial Data Mining: A Database Approach[A]. In: Proc 5th Int Symposium on large Spatial Database (SSD97) [ C]. Berlin, Germany...
Spatial data mining is the application of data mining to spatial models. In spatial data mining, analysts use geographical or spatial information to produce business intelligence or other results. This requires specific techniques and resources to get the geographical data into relevant and useful forma...
Spatial and temporal analysis of surface displacements for tailings storage facility stability assessment Tailings storage facilities (TSFs) play a pivotal role in the mining industry, serving as repositories for the bulk of post-flotation tailings generated during ore extraction...Mining...
: Visual data mining of large spatial data sets. In Bianchi- Berthouze, N., ed.: Databases in Networked Information Systems. Volume 2822 of Lecture Notes in Computer Science. Springer Berlin / Heidelberg 201-215 [5]D.A. Keim, C.Panse, and M. Sips "Visual Data Mining of Large Spatial...
Density-Based Spatial Clustering of Applications with Noise (DBSCAN): Identifies clusters as dense regions separated by low-density areas. Expectation-Maximization (EM): Estimates parameters of statistical models to assign data to clusters. 4. Association Rule Mining ...
In Lesson 6, we will study concepts and methods for mining spatiotemporal and trajectory patterns as one kind of pattern mining applications. We will introduce a few popular kinds of patterns and their mining methods, including mining spatial associations, mining spatial colocation patterns, mining ...
Bogorny V and Shekhar S 2010 Spatial and spatio-tem- poral data mining. In: Proceedings of the 10th IEEE International Conference on Data Mining (ICDM), pp. 1217-1217Shekhar S, Vatsavai R R, Celik M, 2008. Spatial and Spatiotemporal Data Mining: Recent Advances. Data Mining: Next ...
The spatial interaction between different regions are modelled as spatial transmission routes and the regions with high flow are modelled by “sources” or “sinks”. 2. A new spatial data mining approach is developed to discover the significant spatial interaction patterns. First, we define some...
1. Mining spatio-temporal patterns in object mobility databases [J] . Verhein F, Chawla S Data mining and knowledge discovery . 2008,第1期 机译:在对象移动性数据库中挖掘时空模式 2. Mining spatio-temporal chaining patterns in non-identity event databases [J] . Chen Bo-Heng, Teng...