TOWARDS MODEL-DRIVEN DATA WAREHOUSE AUTOMATION USING MACHINE LEARNING

被引：0

作者：

Essaidi, Moez ^{[1
]}

Osmani, Aomar ^{[1
]}

机构：

[1] Univ Paris 13, CNRS, UMR 7030, LIPN, 99 Ave Jean Baptiste Clement, F-93430 Villetaneuse, France

来源：

ICEC 2010: PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON EVOLUTIONARY COMPUTATION | 2010年

关键词：

Model-driven data warehouse; Model transformation by example;

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：

Model-driven data warehouse aims to apply the model-driven engineering approach to derive the data warehouse component. Transformations design is an essential task during the model-driven engineering process. However, Transformations development is a very hard task and needs serious skills. Model transformation by example is a novel approach in model-driven software engineering to derive transformation rules from an initial set of mapping examples. This paper aims to introduce our research effort to automate model-driven data warehouse development using the model transformation by example approach.

引用

页码：380 / 383

页数：4

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