OLAP and statistical databases: similarities and differences (abstract)
CIKM '96 Proceedings of the fifth international conference on Information and knowledge management
Statistical quality control of warehouse data
Databases and information systems
Parameterised patterns for conceptual modelling of data warehouses
Databases and information systems
Modeling Multidimensional Databases
ICDE '97 Proceedings of the Thirteenth International Conference on Data Engineering
A Foundation for Multi-dimensional Databases
VLDB '97 Proceedings of the 23rd International Conference on Very Large Data Bases
Multiple Regression Analysis in Crime Pattern Warehouse for Decision Support
DEXA '02 Proceedings of the 13th International Conference on Database and Expert Systems Applications
Multidimensional Data Modeling for Complex Data
ICDE '99 Proceedings of the 15th International Conference on Data Engineering
Using Multivariate Statistics (5th Edition)
Using Multivariate Statistics (5th Edition)
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This research work is aimed at the development of data analysis strategy in a complex, multidimensional, and dynamic domain. Our universe of discourse is concerned with the data mining techniques of data warehouses revealing the importance of multivariate structures of social-economic data which influence criminality. Distinct tasks require different data structures and various data mining exercises in data warehouses. The proposed problem solution strategy allows choosing an appropriate method in recognition processes. The ensembles of diverse and accurate classifiers are constructed on the base of multidimensional classification and clusterisation methods. Factor analysis is introduced into data mining process for revealing influencing impacts of factors. The temporal nature and multidimensionality of the target object is revealed in dynamic model using multidimension regression estimates. The paper describes the strategy of integrating the methods of multiple statistical analysis in cases, where a great set of variables is observed in short time period. The demonstration of the data analysis strategy is performed using real social and economic development of data warehouses in different regions of Lithuania.