ACM Computing Surveys (CSUR)
Introduction to algorithms
Fast spatial clustering with different metrics and in the presence of obstacles
Proceedings of the 9th ACM international symposium on Advances in geographic information systems
Clustering Algorithms
Data association methods with applications to law enforcement
Decision Support Systems
Discovery of Spatial Association Rules in Geographic Information Databases
SSD '95 Proceedings of the 4th International Symposium on Advances in Spatial Databases
Geographic Data Mining and Knowledge Discovery
Geographic Data Mining and Knowledge Discovery
Output-Sensitive Algorithms for Computing Nearest-Neighbour Decision Boundaries
Discrete & Computational Geometry
| Hi-index | 0.00 |
The value that an application delivers can be improved if the presentation of the underlying functionality is enhanced with user friendly features and intuitive results portrayal. Overlays on top of a map are one such feature which enables merely statistical results to be displayed in an intuitive manner. Crime Analysis is quite crucial in giving trends to the police department about the possibility of future crime and associated information such as location of the crime and probable methods, type of crime etc. The geospatial Knowledge Discovery Framework aims to meet the needs of various domains that have geospatial significance specifically a crime department, which can use this software to track the patterns of crime that have occurred using the data mining algorithms included in the framework, also, it can be used by a public user to find out the vulnerability of a particular location with respect to crime occurrences. The algorithms [2] used vary from simple geospatial search such as Bounded box query to complex clustering algorithms [1] such as Dbscan. Graphical visualization is also a part of the framework which uses Jasper reports to create bar charts of various forms.