A First Framework for Top-K Cubes Queries

被引：3

作者：

Djiroun, Rahma ^{[1
]}

Bimonte, Sandro ^{[2
]}

Boukhalfa, Kamel ^{[1
]}

机构：

[1] USTHB, LSI, BP 32 El Alia, Bab Ezzouar 16111, Algeria

[2] IRSTEA, UR TSCF, F-63178 Aubiere, France

来源：

ADVANCES IN CONCEPTUAL MODELING, ER 2015 WORKSHOPS | 2015年 / 9382卷

关键词：

OLAP; Data Warehouse; Top-K queries;

D O I：

10.1007/978-3-319-25747-1_19

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Data Warehouse (DW) and OLAP systems are effective solutions for the online analysis of large volumes of data structured as cubes. Usually organizations and enterprises require several cubes for their activities. In this context, we define a new kind of queries: "Top-k Cubes queries". Top-K cubes queries allow searching the most relevant k-cubes among a collection of cubes. Then, in this paper we propose a first framework for Top-K cubes queries where queries are expressed in natural language to meet the easiness need of unskilled IT decision-makers. An implementation in a ROLAP architecture is also provided.

引用

页码：187 / 197

页数：11

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