Explanation and interaction: the computer generation of explanatory dialogues
Explanation and interaction: the computer generation of explanatory dialogues
An empirical investigation into DSS structures and environments
Decision Support Systems
Assessing modular structure of legacy code based on mathematical concept analysis
ICSE '97 Proceedings of the 19th international conference on Software engineering
Software Requirements
Introduction: DSS: Directions for the next decade
Decision Support Systems - Special issue: Decision support systems: Directions for the next decade
Past, present, and future of decision support technology
Decision Support Systems - Special issue: Decision support systems: Directions for the next decade
ASSISTing Management Decisions in the Software Inspection Process
Information Technology and Management
Machine Learning
A Decision Support System for Software Reliability Engineering Strategy Selection
COMPSAC '99 23rd International Computer Software and Applications Conference
Rough Set Based Data Analysis in Goal Oriented Software Measurement
METRICS '96 Proceedings of the 3rd International Symposium on Software Metrics: From Measurement to Empirical Results
Dependency networks for inference, collaborative filtering, and data visualization
The Journal of Machine Learning Research
Probabilistic Memory-Based Collaborative Filtering
IEEE Transactions on Knowledge and Data Engineering
Data Mining Techniques: For Marketing, Sales, and Customer Relationship Management
Data Mining Techniques: For Marketing, Sales, and Customer Relationship Management
Mining diagnostic rules from clinical databases using rough sets and medical diagnostic model
Information Sciences: an International Journal - Special issue: Medical expert systems
Feature-rich part-of-speech tagging with a cyclic dependency network
NAACL '03 Proceedings of the 2003 Conference of the North American Chapter of the Association for Computational Linguistics on Human Language Technology - Volume 1
Rule Based Expert Systems: The Mycin Experiments of the Stanford Heuristic Programming Project (The Addison-Wesley series in artificial intelligence)
Supporting Software Release Planning Decisions for Evolving Systems
SEW '05 Proceedings of the 29th Annual IEEE/NASA on Software Engineering Workshop
Proceedings of the 2006 international workshop on Software technology transfer in software engineering
Proceedings of the 2006 ACM/IEEE international symposium on Empirical software engineering
Learning Contextual Dependency Network Models for Link-Based Classification
IEEE Transactions on Knowledge and Data Engineering
Automatic generation of explanations: AGE
Engineering Applications of Artificial Intelligence
The effects of structural characteristics of explanations on use of a DSS
Decision Support Systems
Hybrid Intelligence in Software Release Planning
International Journal of Hybrid Intelligent Systems
Applying hybrid reasoning to mine for associative features in biological data
Journal of Biomedical Informatics
Incremental and interactive mining of web traversal patterns
Information Sciences: an International Journal
Privacy preserving data mining of sequential patterns for network traffic data
Information Sciences: an International Journal
Explaining clinical decisions by extracting regularity patterns
Decision Support Systems
Attribute reduction in decision-theoretic rough set models
Information Sciences: an International Journal
On the conflict between inducing confusion and attaining payoff in adversarial decision making
Information Sciences: an International Journal
Information Sciences: an International Journal
Recognizing yield patterns through hybrid applications of machine learning techniques
Information Sciences: an International Journal
Preface: Linguistic decision making: Tools and applications
Information Sciences: an International Journal
Information Sciences: an International Journal
Does explanation improve the acceptance of decision support for product release planning?
ESEM '09 Proceedings of the 2009 3rd International Symposium on Empirical Software Engineering and Measurement
Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images
IEEE Transactions on Pattern Analysis and Machine Intelligence
A New Version of the Rule Induction System LERS
Fundamenta Informaticae
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Decision support systems (DSSs) perform complex computations to provide suggestions regarding decision-making and problem solving. Quite often, the DSS solutions are not fully accepted by users because DSSs work as a black box so that the users cannot fully understand where the results came from and how they were derived. Explanations of the generated DSSs solutions are expected to mitigate this situation. In this paper, two machine-learning techniques, called rough set analysis (RSA) and dependency network analysis (DNA), are proposed for mining DSS solutions. The mining results are provided to the users as explanations for those solutions. Two parts of research results are described. First, a framework applying RSA and DNA for generating explanations for DSS solutions is presented. This framework is generic and applicable to many other DSSs. Second, as a proof-of-concept, the applications of RSA and DNA techniques are demonstrated through a case study of mining patterns from input-output pairs of ReleasePlanner(TM), a specific DSS for product release planning. Our evaluation indicates that the explanations generated by RSA and DNA improve the overall user acceptance of results provided by this specific DSS.