Fuzzy Sets and Systems - Special issue: fuzzy sets: where do we stand? Where do we go?
Using Rough Sets with Heuristics for Feature Selection
Journal of Intelligent Information Systems
Foundations of Inductive Logic Programming
Foundations of Inductive Logic Programming
Relational Data Mining
An introduction to inductive logic programming
Relational Data Mining
Feature Selection via Discretization
IEEE Transactions on Knowledge and Data Engineering
Learning Logical Definitions from Relations
Machine Learning
Synthesizing High-Frequency Rules from Different Data Sources
IEEE Transactions on Knowledge and Data Engineering
An Algorithm for Multi-relational Discovery of Subgroups
PKDD '97 Proceedings of the First European Symposium on Principles of Data Mining and Knowledge Discovery
Identifying Relevant Databases for Multidatabase Mining
PAKDD '98 Proceedings of the Second Pacific-Asia Conference on Research and Development in Knowledge Discovery and Data Mining
Peculiarity Oriented Multidatabase Mining
IEEE Transactions on Knowledge and Data Engineering
Interestingness, Peculiarity, and Multi-database Mining
ICDM '01 Proceedings of the 2001 IEEE International Conference on Data Mining
Relational Peculiarity Oriented Data Mining
ICDM '04 Proceedings of the Fourth IEEE International Conference on Data Mining
Data Mining: Concepts and Techniques
Data Mining: Concepts and Techniques
Guest Editors' Introduction: Artificial Intelligence for Homeland Security
IEEE Intelligent Systems
Rule + Exception Strategies for Security Information Analysis
IEEE Intelligent Systems
Peculiarity Oriented Multi-Aspect Brain Data Analysis for Studying Human Multi-Perception Mechanism
SAINT-W '05 Proceedings of the 2005 Symposium on Applications and the Internet Workshops
Explanation oriented association mining using rough set theory
RSFDGrC'03 Proceedings of the 9th international conference on Rough sets, fuzzy sets, data mining, and granular computing
Local peculiarity factor and its application in outlier detection
Proceedings of the 14th ACM SIGKDD international conference on Knowledge discovery and data mining
Ways to Develop Human-Level Web Intelligence: A Brain Informatics Perspective
ESWC '07 Proceedings of the 4th European conference on The Semantic Web: Research and Applications
Impending web intelligence (WI) and brain informatics (BI) research
PRICAI'06 Proceedings of the 9th Pacific Rim international conference on Artificial intelligence
Web intelligence meets brain informatics
WImBI'06 Proceedings of the 1st WICI international conference on Web intelligence meets brain informatics
Web user browse behavior characteristic analysis based on a BC tree
AMT'10 Proceedings of the 6th international conference on Active media technology
AMT'11 Proceedings of the 7th international conference on Active media technology
BI'11 Proceedings of the 2011 international conference on Brain informatics
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Peculiarity rules are a new type of useful knowledge that can be discovered by searching the relevance among peculiar data. A main task in mining such knowledge is peculiarity identification. Previous methods for finding peculiar data focus on attribute values. By extending to record-level peculiarity, this paper investigates relational peculiarity-oriented mining. Peculiarity rules are mined, and more importantly explained, in a relational mining framework. Several experiments are carried out and the results show that relational peculiarity-oriented mining is effective.