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	Assessing information quality for On-Line Analytical Processing in data warehouses
	Su Ying ; Zhao Jing ; Jin Zhanming
	2010-05-10 ; 2010-05-10
会议名称	TIRMDCM 2007: PROCEEDINGS OF THE FIRST INTERNATIONAL CONFERENCE ON TECHNOLOGY INNOVATION, RISK MANAGEMENT AND SUPPLY CHAIN MANAGEMENT, VOLS 1 AND 2 ; 1st International Symposium on Technology Innovation, Risk Management and Supply Chain Management ; Beijing, PEOPLES R CHINA ; Web of Science
关键词	information quality On-Line Analytical Processing (OLAP) data warehouse data cube SYSTEMS MODEL Computer Science, Information Systems Management
中文摘要	Information quality (IQ) is a critical factor in the success of the On-Line Analytical Processing (OLAP). Therefore, it is essential to measure the IQ in a data warehouse to ensure success in implementing OLAP. This paper presents a methodology to determine two IQ characteristics-accuracy and comprehensiveness-that are of critical importance to decision makers. This methodology can examine how the quality metrics of source information affect the quality for information outputs produced using the relational algebra operations selection, projection, and Cubic product. It can be used to determine how quality characteristics associated with diverse data sources affect the quality of the derived data. The study resulted in the development of a model of a data cube and an algebra to support IQ Assessment operations on this cube. The model we present is simple and intuitive, and the algebra provides a means to concisely express complex OLAP queries.
会议录出版者	UNIVERSE ACADEMIC PRESS TORONTO ; TORONTO ; 1 SPADINA CRESCENT, ROOM 205, TORONTO, ONTARIO M5S 3G3, CANADA
语种	英语 ; 英语
内容类型	会议论文
源URL	[http://hdl.handle.net/123456789/19900]
专题	清华大学
推荐引用方式 GB/T 7714	Su Ying,Zhao Jing,Jin Zhanming. Assessing information quality for On-Line Analytical Processing in data warehouses[C]. 见:TIRMDCM 2007: PROCEEDINGS OF THE FIRST INTERNATIONAL CONFERENCE ON TECHNOLOGY INNOVATION, RISK MANAGEMENT AND SUPPLY CHAIN MANAGEMENT, VOLS 1 AND 2, 1st International Symposium on Technology Innovation, Risk Management and Supply Chain Management, Beijing, PEOPLES R CHINA, Web of Science.

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