Study and application of data mining and data warehouse in CIMS

Lijuan Zhou; Chi Liu; Daxin Liu

doi:10.1117/12.484895

21 March 2003 Study and application of data mining and data warehouse in CIMS

Lijuan Zhou, Chi Liu, Daxin Liu

Proceedings Volume 5098, Data Mining and Knowledge Discovery: Theory, Tools, and Technology V; (2003) https://doi.org/10.1117/12.484895
Event: AeroSense 2003, 2003, Orlando, Florida, United States

Abstract

The interest in analyzing data has grown tremendously in recent years. To analyze data, a multitude of technologies is need, namely technologies from the fields of Data Warehouse, Data Mining, On-line Analytical Processing (OLAP). This paper gives a new architecture of data warehouse in CIMS according to CRGC-CIMS application engineering. The data source of this architecture comes from database of CRGC-CIMS system. The data is put in global data set by extracting, filtrating and integrating, and then the data is translated to data warehouse according information request. We have addressed two advantages of the new model in CRGC-CIMS application. In addition, a Data Warehouse contains lots of materialized views over the data provided by the distributed heterogeneous databases for the purpose of efficiently implementing decision-support, OLAP queries or data mining. It is important to select the right view to materialize that answer a given set of queries. In this paper, we also have designed algorithms for selecting a set of views to be materialized in a data warehouse in order to answer the most queries under the constraint of given space. First, we give a cost model for selecting materialized views. Then we give the algorithms that adopt gradually recursive method from bottom to top. We give description and realization of algorithms. Finally, we discuss the advantage and shortcoming of our approach and future work.

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Lijuan Zhou, Chi Liu, and Daxin Liu "Study and application of data mining and data warehouse in CIMS", Proc. SPIE 5098, Data Mining and Knowledge Discovery: Theory, Tools, and Technology V, (21 March 2003); https://doi.org/10.1117/12.484895

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KEYWORDS

Databases

Data mining

Data modeling

Data storage

Data processing

Algorithm development

Computer networks

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