Data Quality of Query Results with Generalized Selection Conditions

• 成果类型: Article
• 署名作者: Dey, Debabrata; Kumar, Subodha
• 署名单位: University of Washington; University of Washington Seattle; Texas A&M University System; Texas A&M University College Station; Mays Business School
• 刊物名称: OPERATIONS RESEARCH
• ISSN/ISSBN: 0030-364X
• DOI: 10.1287/opre.1120.1128
• 发表日期: 2013
• 页码: 17-31
• 关键词: information products; decision-model; systems; FRAMEWORK; IMPACT; management; enterprise; databases

摘要

Information systems play a very important role in managerial decision making within modern organizations. While making different types of decisions (at operational, tactical, and strategic levels), managers are increasingly relying on information gleaned from various databases, data warehouses, and data streams feeding them. The quality of organizational decisions, therefore, often depends on the quality of the information derived from these databases and data streams, and a manager is able to make better use of the information if she also understands the quality level of that information. Previous research has examined how the quality level of a database query output can be estimated based on the quality level of the input data. In this research, we generalize this stream of research and allow a query to have general selection conditions involving multiple attributes with any combination of conjunction or disjunction of subconditions that may include functions of multiple attributes. Results of this research can easily be implemented in real-world decision contexts.