C4.5: programs for machine learning
C4.5: programs for machine learning
Conceptual structures
Robust Classification for Imprecise Environments
Machine Learning
ICDM '01 Proceedings of the 2001 IEEE International Conference on Data Mining
Discovering Associations between Spatial Objects: An ILP Application
ILP '01 Proceedings of the 11th International Conference on Inductive Logic Programming
gSpan: Graph-Based Substructure Pattern Mining
ICDM '02 Proceedings of the 2002 IEEE International Conference on Data Mining
Mining Graph Data
Data Mining: Practical Machine Learning Tools and Techniques, Second Edition (Morgan Kaufmann Series in Data Management Systems)
Arc Consistency Projection: A New Generalization Relation for Graphs
ICCS '07 Proceedings of the 15th international conference on Conceptual Structures: Knowledge Architectures for Smart Applications
A quantitative comparison of the subgraph miners mofa, gspan, FFSM, and gaston
PKDD'05 Proceedings of the 9th European conference on Principles and Practice of Knowledge Discovery in Databases
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The paper presents a new projection operator, named AC- projection, which exhibits good complexity properties as opposed to the graph isomorphism operator typically used in graph mining. We study the size and structure of the search space and some practical properties of the projection operator. These properties give us a specialization algorithm using simple local operations. Then we prove experimentally that we can achieve an important performance gain without or with non-significant loss of discovered patterns quality.