Design by derivational analogy: issues in the automated replay of design plans
Artificial Intelligence
Mining association rules between sets of items in large databases
SIGMOD '93 Proceedings of the 1993 ACM SIGMOD international conference on Management of data
Derivational Analogy in PRODIGY: Automating Case Acquisition, Storage, and Utilization
Machine Learning - Special issue on case-based reasoning
Case-based reasoning
Pruning and summarizing the discovered associations
KDD '99 Proceedings of the fifth ACM SIGKDD international conference on Knowledge discovery and data mining
A multistrategy approach to classification learning in databases
Data & Knowledge Engineering
Efficient search for association rules
Proceedings of the sixth ACM SIGKDD international conference on Knowledge discovery and data mining
TBAR: An efficient method for association rule mining in relational databases
Data & Knowledge Engineering
Case-Based Reasoning: Experiences, Lessons and Future Directions
Case-Based Reasoning: Experiences, Lessons and Future Directions
ISAC: A CBR System for Decision Support in Air Traffic Control
EWCBR '96 Proceedings of the Third European Workshop on Advances in Case-Based Reasoning
SEED-Config: A case-based reasoning system for conceptual building design
Artificial Intelligence for Engineering Design, Analysis and Manufacturing
Discovering Knowledge in Data: An Introduction to Data Mining
Discovering Knowledge in Data: An Introduction to Data Mining
Information Extraction from the Web: System and Techniques
Applied Intelligence
Case-Based Reasoning: Concepts, Features and Soft Computing
Applied Intelligence
Guided Cluster Discovery with Markov Model
Applied Intelligence
A new hybrid case-based architecture for medical diagnosis
Information Sciences—Informatics and Computer Science: An International Journal
IEEE Transactions on Knowledge and Data Engineering
Multi-Instance Learning Based Web Mining
Applied Intelligence
Implementing information systems with project teams using ethnographic-action research
Advanced Engineering Informatics
Loss and gain functions for CBR retrieval
Information Sciences: an International Journal
Knowledge-based schedule generation and evaluation
Advanced Engineering Informatics
Introducing attribute risk for retrieval in case-based reasoning
Knowledge-Based Systems
KnowPrice2: intelligent cost estimation for construction projects
EG-ICE'06 Proceedings of the 13th international conference on Intelligent Computing in Engineering and Architecture
Operational support in fish farming through case-based reasoning
IEA/AIE'12 Proceedings of the 25th international conference on Industrial Engineering and Other Applications of Applied Intelligent Systems: advanced research in applied artificial intelligence
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This paper presents three CBR systems that have been developed over seven years in collaboration with two industrial partners. In this research, case based reasoning (CBR) is used to compute costs of construction projects. In contrast with previous work in the field of CBR, the focus is on choosing strategies that are compatible with user needs and characteristics. Comparing the three strategies reveals advantages and drawbacks while illustrating a ''real-life'' evolution of a CBR architecture in an industrial context. An important conclusion is that the ways users perform tasks have a direct influence on the best architecture for the CBR system (e.g. transformational/derivational analogy). Incremental development of strategies in the final system improves user interaction, expedites time consuming tasks and favours identification of synergy between techniques such as CBR and data mining.