scispace - formally typeset
Search or ask a question

Showing papers on "Data warehouse published in 1983"



Journal ArticleDOI
TL;DR: This paper investigates data collection and coding costs, and impact on accuracy of several different types of data including manually coded land use data, customer data base information, and Landsat information.
Abstract: Data is an important aspect of the load forecasting involved in newer distribution planning methods. This paper investigates data collection and coding costs, and impact on accuracy of several different types of data including manually coded land use data, customer data base information, and Landsat information. Results and recommendations based on these tests are given.

20 citations


Proceedings ArticleDOI
16 May 1983
TL;DR: Concepts of Data Base Management Systems (DBMS) have not yet been widely used for medical image data bases but are applied to design an image data base for a radiological department in Hamburg University Hospital.
Abstract: Concepts of Data Base Management Systems (DBMS) have not yet been widely used for medical image data bases. At the Hamburg University Hospital these concepts are applied to design an image data base for a radiological department. A scenario is described in terms of conventional data base design techniques and thus a conceptual schema is derived. This schema is modelled by the relational data model. For the implementation of the model we used the relational DBMS ORACLE. The software structure has two layers: one which extends the data base language to the needs of image management and another one which provides interaction with the data base in a pictorial context. The properties of the designed system are discussed and the state of implementation is outlined.© (1983) COPYRIGHT SPIE--The International Society for Optical Engineering. Downloading of the abstract is permitted for personal use only.

11 citations


Posted Content
TL;DR: The technical requirements for data management aspects of computerized decision support systems which use interactive multiple criteriadecision methods and the importance of the datamanagement tool to MCDSS are pointed out.
Abstract: This paper focuses on data management aspects of computerizeddecision support systems which use interactive multiple criteriadecision methods. In this context, we point out the technicalrequirements for such systems and the importance of the datamanagement tool to MCDSS.After a discussion of candidate data models (i.e.relational, hierarchical, and network), we examine the criteria touse in choosing the data model for MCDSS.In the last part of this paper, we review some databasemanagement services which support data definition, datamanipulation, and data integrity within the multiple-criteriadecision making framework. These services guide us when designingthe appropriate architecture for the MCDSS’s data component.

4 citations


Proceedings Article
27 Sep 1983
TL;DR: Research is being conducted in four major areas: the development of a model of the data analysis process incorporating the concepts of data analysis environments, the design and use of data modification definitions (differential files) to represent multiple versions of a large data base, and the use ofData dictionaries/directories to manage, describe, and control multiple dataAnalysis environments.
Abstract: Data analysis is typically an iterative process in which the choice of the next analysis operation is largely determined by the results of previous operations on the data set. With large data sets, many analysis paths may be explored before meaningful results are obtained. Along eachpath, the analyst creates a sequence of "data analysis environments," each environment being a frame or "snapshop" of the data set and associated descriptions, conditions, models, and analysis results. The data analysis environment may be changed incrementally through temprary data modifications, subsets, samples, or statistical operations; or, the analyst may wish to restore the conditions of a previous environment as a starting point fram which a new analysis path can be generated. Existing analysis systems, however, lack facilities to maintain, save, or restore all of the components required to completely describe or reconstruct a data analysis environment.This paper describes ongoing research at Pacific Northwest Laboratory (PNL) in data management and display techniques for multiple data analysis environments. Specifically, research is being conducted in four major areas: (1) the development of a model of the data analysis process incorporating the concepts of data analysis environments; (2) the design and use of data modification definitions (differential files) to represent multiple versions of a large data base; (3) the use of data dictionaries/directories to manage, describe, and control multiple data analysis environments; and (4) the application of graphical display and interaction techniques to the examination and selection of data analysis environments. The results of these research efforts will be integrated to provide a new dimension in interactive data analysis.

1 citations