Multidimensional Databases and Data Warehousing
نویسندگان
چکیده
منابع مشابه
Granule mining oriented data warehousing model for representations of multidimensional association rules
To promise the quality of multidimensional association mining in real applications is a challenging research issue. The challenging issue is how to represent multidimensional association rules efficiently because of the complicated correlation between attributes. Multi-tier granule mining is one initiative in solving this challenge. This paper presents a granule mining oriented data warehousing...
متن کاملAn Architecture for Data Warehousing Supporting Data Independence and Interoperability
We report on the design of a novel architecture for data warehousing based on the introduction of an explicit “logical” layer to the traditional data warehousing framework. This layer serves to guarantee a complete independence of OLAP applications from the physical storage structure of the data warehouse and thus allows users and applications to manipulate multidimensional data ignoring implem...
متن کاملTowards Complex Data Warehousing : A new approach for integrating and modeling complex data
With the development of Internet, the availability of various types of data (multimedia, data from databases, ) has increased. These data which present different forms and semantics (we name them ”complex data”) may be unstructured, structured, or semi-structured. In order to prepare them for proper analysis, a multidimensional modeling layer is needed. To be efficient in terms of quality of se...
متن کاملUser-centric spatial data warehousing: a survey of requirements and approaches
The increased availability of spatial data in recent years has lead to new challenges in the analysis of large multidimensional datasets. One solution is to integrate GIS with OLAP and relational databases. Another strategy has been to leverage existing spatial capabilities of databases to perform spatial OLAP. In this article, we review existing modelling strategies for spatial data warehousin...
متن کاملData Warehousing, Data Mining, OLAP and OLTP Technologies Are Indispensable Elements to Support Decision-Making Process in Industrial World
This paper provides an overview of Data warehousing, Data Mining, OLAP, OLTP technologies, exploring the features, new applications and the architecture of Data Warehousing and data mining. The data warehouse supports on-line analytical processing (OLAP), the functional and performance requirements of which are quite different from those of the online transaction processing (OLTP) applications ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2010