It has been argued that traditional data models, such as the ER model and the relational model, are in principle not powerful enough for modeling the data structure and semantics of data warehouse and supporting OLAP (on-line analysis processing). As a result, several multidimensional models ...
This paper presents the empirical validation of the metrics for multidimensional models for data warehouses at conceptual level. Quality attributes namely, understandability and efficiency are evaluated through various combinations of metrics. Multiple linear regression analysis has been used in this paper ...
Sergio Lujan-Mora,J Trujillo,IY Song - 《Data & Knowledge Engineering》 被引量: 510发表: 2006年 YAM^2: a multidimensional conceptual model multidimensional models are restricted to the modeling of isolated stars, this paper investigates the representation of several semantically related star schemas....
The extensive data modeling subsystem available in analytic workspaces enables you to create both simple and complex models, which can be solved alone or in conjunction with aggregation methods. As a one-dimensional index, a dimension container has many uses in an analytic workspace in addition to...
An Overview of Data Warehousing and OLAP Technology We describe back end tools for extracting, cleaning and loading data into a data warehouse; multidimensional data models typical of OLAP; front end client tools for querying and data analysis; server extensions for efficient query ... S Chaudhuri...
A multidimensional database (MDB) is a type of database that is optimized for data warehouse and online analytical processing (OLAP) applications. MDBs are frequently created using input from existingrelational databases. An OLAP application that accesses data from a multidimensional database is known...
A Model Driven Modernization Approach for Automatically Deriving Multidimensional Models in Data Warehouses Trujillo, A model driven modernization approach for automatically deriving multidimensional models in data warehouses, in: Proceedings of the International Conference on Conceptual Modeling, Auckland, New...
finding your way through multidimensional data models 1 M Blaschka,C Sapia,G Hfling,... 被引量: 0发表: 0年 Fundamentals of Data Warehouses The next two chapters study the client-side of a data warehouse: Chapter 5 shows how to reorganize relational data into the multidimensional data models...
5.You can create mining models from multidimensional or relational data.您可以用多维数据或关系数据来创建挖掘模型。 6.A UML EXTENSION-BASED MULTIDIMENSIONAL DATA PIM MODELLING IN DATA WAREHOUSE基于UML扩展的数据仓库多维数据PIM建模 7.Researches on Applying Power Designer in Building Data Warehouse Multidim...
Multidimensional Databases and Data Warehousing The present book's subject is multidimensional data models and data modeling concepts as they are applied in real data warehouses. The book aims to present... CS Jensen,TB Pedersen,C Thomsen - 《Synthesis Lectures on Data Management》 被引量: 50...