Data mining: concepts and techniques
Data mining: concepts and techniques
Principles of data mining
Data Mining: Introductory and Advanced Topics
Data Mining: Introductory and Advanced Topics
Formal Concept Analysis on Its Way from Mathematics to Computer Science
ICCS '02 Proceedings of the 10th International Conference on Conceptual Structures: Integration and Interfaces
ISWC '02 Proceedings of the First International Semantic Web Conference on The Semantic Web
Concept Data Analysis: Theory and Applications
Concept Data Analysis: Theory and Applications
Mining with rarity: a unifying framework
ACM SIGKDD Explorations Newsletter - Special issue on learning from imbalanced datasets
Efficient mining of both positive and negative association rules
ACM Transactions on Information Systems (TOIS)
An experiment on knowledge discovery in chemical databases
PKDD '04 Proceedings of the 8th European Conference on Principles and Practice of Knowledge Discovery in Databases
Knowledge editing and maintenance tools for a semantic portal in oncology
International Journal of Human-Computer Studies - Protégé: community is everything
On Characterization and Discovery of Minimal Unexpected Patterns in Rule Discovery
IEEE Transactions on Knowledge and Data Engineering
The Description Logic Handbook
The Description Logic Handbook
Instantiation of Relations for Semantic Annotation
WI '06 Proceedings of the 2006 IEEE/WIC/ACM International Conference on Web Intelligence
The Galois lattice as a hierarchical structure for topological relations
Annals of Mathematics and Artificial Intelligence
ICTAI '07 Proceedings of the 19th IEEE International Conference on Tools with Artificial Intelligence - Volume 01
Learning concept hierarchies from text corpora using formal concept analysis
Journal of Artificial Intelligence Research
Case base mining for adaptation knowledge acquisition
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
Handbook on Ontologies
Using formal concept analysis for mining and interpreting patient flows within a healthcare network
CLA'06 Proceedings of the 4th international conference on Concept lattices and their applications
Querying a bioinformatic data sources registry with concept lattices
ICCS'05 Proceedings of the 13th international conference on Conceptual Structures: common Semantics for Sharing Knowledge
BioRegistry: a structured metadata repository for bioinformatic databases
CompLife'05 Proceedings of the First international conference on Computational Life Sciences
Methods of conceptual knowledge processing
ICFCA'06 Proceedings of the 4th international conference on Formal Concept Analysis
Proceedings of the eighth ACM symposium on Document engineering
Role Assertion Analysis: a proposed method for ontology refinement through assertion learning
Proceedings of the 2008 conference on STAIRS 2008: Proceedings of the Fourth Starting AI Researchers' Symposium
Why and how knowledge discovery can be useful for solving problems with CBR
ICCBR'10 Proceedings of the 18th international conference on Case-Based Reasoning Research and Development
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In this paper, we present research trends carried out in the Orpailleur team at loria, showing how knowledge discovery and knowledge processing may be combined. The knowledge discovery in databases process (KDD) consists in processing a huge volume of data for extracting significant and reusable knowledge units. From a knowledge representation perspective, the kdd process may take advantage of domain knowledge embedded in ontologies relative to the domain of data, leading to the notion of "knowledge discovery guided by domain knowledge" or kddk. The kddk process is based on the classification process (and its multiple forms), e.g. for modeling, representing, reasoning, and discovering. Some applications are detailed, showing how kddk can be instantiated in an application domain. Finally, an architecture of an integrated KDDK. system is proposed and discussed.