Database management systems
The dataflow visualization pipeline as a problem solving environment
Proceedings of the Eurographics workshop on Virtual environments and scientific visualization '96
Human factors comparison of a procedural and a nonprocedural query language
ACM Transactions on Database Systems (TODS)
What happened when database researchers met usability
Information Systems
Data mining: concepts and techniques
Data mining: concepts and techniques
Human Factors Studies of Database Query Languages: A Survey and Assessment
ACM Computing Surveys (CSUR)
Principles of data mining
Foundations of Databases: The Logical Level
Foundations of Databases: The Logical Level
Annals of Mathematics and Artificial Intelligence
A Human Factors Experimental Comparison of SQL and QBE
IEEE Transactions on Software Engineering
Human factors evaluation of two data base query languages: square and sequel
AFIPS '75 Proceedings of the May 19-22, 1975, national computer conference and exposition
Phenomena - A visual environment for querying heterogenous spatial data
Journal of Visual Languages and Computing
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This paper provides results from a usability experiment comparing two different database query languages. The research focuses on a specific type of query task, namely classification queries. Classification is the process of assigning input data to discrete classes according to application specific criteria. While SQL can be used to perform classification tasks, we seek to discover whether a different type of query language offers any advantages over SQL. We present a rule-based language, which organizes the queries in a logical way. The rule based language is specifically designed to support classification tasks. The usability experiment measures the effectiveness, efficiency and satisfaction of novice and expert users performing a variety of classification tasks. The results show that while both approaches are usable for classification tasks, the rule-based approach was preferred by expert users.