The cognitive walkthrough method: a practitioner's guide
Usability inspection methods
The usability engineering lifecycle: a practitioner's handbook for user interface design
The usability engineering lifecycle: a practitioner's handbook for user interface design
Data preparation for data mining
Data preparation for data mining
Software for use: a practical guide to the models and methods of usage-centered design
Software for use: a practical guide to the models and methods of usage-centered design
Data mining: concepts and techniques
Data mining: concepts and techniques
The state of the art in automating usability evaluation of user interfaces
ACM Computing Surveys (CSUR)
Machine Learning
MSQL: A Query Language for Database Mining
Data Mining and Knowledge Discovery
A Practical Guide to Usability Testing
A Practical Guide to Usability Testing
Software quality and software testing in internet times
Adaptation of Traditional Usability Testing Methods for Remote Testing
HICSS '01 Proceedings of the 34th Annual Hawaii International Conference on System Sciences ( HICSS-34)-Volume 5 - Volume 5
Usability engineering methods for software developers
Communications of the ACM - Interaction design and children
KDDML: a middleware language and system for knowledge discovery in databases
Data & Knowledge Engineering
Data Mining: Practical Machine Learning Tools and Techniques, Second Edition (Morgan Kaufmann Series in Data Management Systems)
Prioritization of association rules in data mining: Multiple criteria decision approach
Expert Systems with Applications: An International Journal
A sketching tool for designing anyuser, anyplatform, anywhere user interfaces
INTERACT'05 Proceedings of the 2005 IFIP TC13 international conference on Human-Computer Interaction
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Qualitative usability evaluation is usually included within the Evaluation Stage in Usability Engineering through a Qualitative Usability Testing process QUT. This QUT process includes the application of methods that have been defined focusing on the evaluation of a particular interactive system, becoming highly expensive when a context of use has to be evaluated (by analyzing a large number of interfaces belonging to that context) in order to detect common usability problems from a qualitative viewpoint. This paper presents the QUTCKDD methodology which incorporate techniques from Knowledge Discovery in Databases, extending the existing QUT process in order to solve the above situation. To illustrate the QUTCKDD methodology, an experimentation related to a particular Latin-American context of use is also discussed.