Showing papers on "Data access published in 1970"

Procedural Modeling for Realistic Virtual Worlds Development

Abstract: The creation of virtual environments, corresponding to real world settings, constitutes one of the most important, but also most time and resource demanding processes in content development for virtual worlds. By querying real-world data sources, the building process can be automated, reducing the need for human intervention. However, these may present additional management difficulties due to their number, dimension, format or level of detail, therefore requiring specific techniques to operate on them. This paper describes the application of a procedural modeling solution, called PG3D System, on the creation of realistic virtual urban environments and their employ in virtual world applications. This system's implementation in spatial database management systems induces fast data access, large data manipulation features, complex query capabilities and format flexibility, allowing the fast creation of large scale virtual environments, imbued with optimized data structures, compatible with any digital game, custom modeling tool or metaverse platform.

Knowledge Discovery With Retail BasketAnalysis

Abstract: Minute by minute the amount of data in the world databases is increasing inexorably. To support this growth of data the concept of data warehouse (DW) was created. DW when combined with On-Line Analytical Processing (OLAP) Codd[2] and Executive Information Systems (EIS) Buytendijk[l] tools, enable data access and visualization in a very flexible way. Features include very quick data exploration, vertical navigation (drill up/drill down), aggregation and graphical facilities. However, the amount and the complexity of data in data warehouses is so big that it becomes difficult to the business analysts to recognise trends and relations in data even with multidimensional decision support systems. A new generation of tools and techniques for automated intelligent database analysis is needed. These tools and techniques are the subject of the rapidly emerging field of Knowledge Discovery in Data Bases (KDD). In this paper, we propose an integrated system DECADIS DEscoberta de Conhecimento em Armazens de Dados de DIStribuigao (Knowledge Discovery in Retail Data Warehouses), designed for understanding customer behaviour and consumption patterns in a Portuguese company in the retail industry. Transactions on Information and Communications Technologies vol 19 © 1998 WIT Press, www.witpress.com, ISSN 1743-3517

Organising Information Related ToGroundwater Hydrology

Abstract: A relational data base has been designed to cover the hydrological and meteorological information of Greece on a nationwide basis. This paper deals with the part concering Groundwater Hydrology and Hydrogeology. A system is presented for the search and retrieval of this information. The software has been developed using the W4GL of the Ingres DBMS and runs in workstations under Unix X-Windows. The ultimate goal of developing the data base is to acquire a tool for groundwater management. However, there are no specific defined policies in that area, although the nature of the problems is known. Therefore, the system was designed in a sufficiently general and flexible manner, so as to accomodate future needs. The information related to groundwater is organised on the basis of a classification into spatial and temporal categories. Subsequent groups and subgroups of information emanate from this basic division and the whole scheme is depicted in frames logically inter-connected and reflecting an hierarchy in data access. These frames provide a visual overview of all information categories and a suitable environment for the processes of data entry, search, retrieval, query formulation and report production. The data management software depends heavily on SQL search codes. Alternatives of such code commands are applied and discussed.