Mining Popular Crime Patterns in Spatial Databases

Mining Popular Crime Patterns in Incremental Databases

The Crime investigation department have very significant role in police system in all countries in the world. Computer systems are placed in almost all police stations to store and retrieve the crimes and criminal data and for subsequent reporting. For crime analysts, it is a challenging, time-consuming to determine who have been committed crimes from the large set of crimes that are happening ...

Efficient Voronoi K-Means Algorithm for Mining Local Crime Spatial Outliers in Spatial Crime Data

Through the boosting accessibility of spatial and temporal data in many research fields, spatial clustering and spatial outlier detection has received a group of concentration in the spatial data mining research. As a very famous method, the CLIQUE Optimization finds a region that deviates significantly from the entire spatial data set. In this paper, we introduce the novel problem of mining cr...

Mining Popular Patterns: A Novel Mining Problem and Its Application to Static Transactional Databases and Dynamic Data Streams

Clustering for Mining in Large Spatial Databases

In the past few decades, clustering has been widely used in areas such as pattern recognition, data analysis, and image processing. Recently, clustering has been recognized as a primary data mining method for knowledge discovery in spatial databases, i.e. databases managing 2D or 3D points, polygons etc. or points in some d-dimensional feature space. The well-known clustering algorithms, howeve...

Mining periodic patterns in time-series databases

Periodicity detection is an important temporal data mining problem with different applicability. In this paper, we raise a problem of periodic sets detection and suggest the method for its solution. Several existing algorithms for the mining of periodic events are considered in detail and a new approach is proposed in the paper. The comparison of the algorithms and their performance are demonst...