ANALYSING MULTIDIMENSIONAL DATABASES USING DATA MINING AND BUSINESS INTELLIGENCE TO PROVIDE DECISION SUPPORT

被引：0

作者：

Basra, Rajveer Singh ^{[1
]}

Lu, Kevin J. ^{[1
]}

机构：

[1] Brunel Univ, Brunel Business Sch, Uxbridge UB8 3PH, Middx, England

来源：

ICEIS 2008: PROCEEDINGS OF THE TENTH INTERNATIONAL CONFERENCE ON ENTERPRISE INFORMATION SYSTEMS, VOL AIDSS: ARTIFICIAL INTELLIGENCE AND DECISION SUPPORT SYSTEMS | 2008年

关键词：

Business Intelligence (BI); decision support systems (DSS); data mining; multidimensional databases (MDDB); data cubes; digital dashboard; reporting; on-line analytical processing (OLAP);

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

After relational databases and data warehouses, the techniques used for data management have entered the next phase, Business Intelligence Tools. These tools provide enhanced business functionality by integrating data mining and advanced analytics into data warehouse systems to provide comprehensive support for the purposes of data management, analysis and decision support. In this paper, we introduce an on-going project aimed at developing BI tools on data warehouse systems for multi-dimensional analysis. A prototype has been developed and has been tested for two examples, which are also reported in this paper.

引用

页码：472 / 479

页数：8

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