Fast discovery of association rules
Advances in knowledge discovery and data mining
Fuzzy Sets and Systems - Special issue: fuzzy sets: where do we stand? Where do we go?
Mining lesion-deficit associations in a brain image database
KDD '99 Proceedings of the fifth ACM SIGKDD international conference on Knowledge discovery and data mining
Computer
Frameworks for Mining Binary Relations in Data
RSCTC '98 Proceedings of the First International Conference on Rough Sets and Current Trends in Computing
The Discovery of Rules from Brain Images
DS '98 Proceedings of the First International Conference on Discovery Science
On Objective Measures of Rule Surprisingness
PKDD '98 Proceedings of the Second European Symposium on Principles of Data Mining and Knowledge Discovery
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
Using WI Technologies to Develop Intelligent Portals - Research Activities at the WIC Japan Center -
WI '04 Proceedings of the 2004 IEEE/WIC/ACM International Conference on Web Intelligence
WI-IATW '06 Proceedings of the 2006 IEEE/WIC/ACM international conference on Web Intelligence and Intelligent Agent Technology
Domain-Driven, Actionable Knowledge Discovery
IEEE Intelligent Systems
Brain Activation Detection by Neighborhood One-Class SVM
WI-IATW '07 Proceedings of the 2007 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology - Workshops
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
An Investigation of Human Problem Solving System: Computation as an Example
RSEISP '07 Proceedings of the international conference on Rough Sets and Intelligent Systems Paradigms
Impending web intelligence (WI) and brain informatics (BI) research
PRICAI'06 Proceedings of the 9th Pacific Rim international conference on Artificial intelligence
WI based multi-aspect data analysis in a brain informatics portal
AIS-ADM'07 Proceedings of the 2nd international conference on Autonomous intelligent systems: agents and data mining
Web intelligence meets brain informatics
WImBI'06 Proceedings of the 1st WICI international conference on Web intelligence meets brain informatics
GridMiner: an advanced grid-based support for brain informatics data mining tasks
WImBI'06 Proceedings of the 1st WICI international conference on Web intelligence meets brain informatics
POM centric multi-aspect data analysis for investigating human problem solving function
MCD'07 Proceedings of the 3rd ECML/PKDD international conference on Mining complex data
EEG/ERP meets ACT-R: a case study for investigating human computation mechanism
BI'09 Proceedings of the 2009 international conference on Brain informatics
Multi-aspect data analysis in brain informatics
PReMI'05 Proceedings of the First international conference on Pattern Recognition and Machine Intelligence
Towards human-level web intelligence
RSFDGrC'05 Proceedings of the 10th international conference on Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing - Volume Part II
MDAI'05 Proceedings of the Second international conference on Modeling Decisions for Artificial Intelligence
Web intelligence meets brain informatics: an impending revolution in WI and brain sciences
AWIC'05 Proceedings of the Third international conference on Advances in Web Intelligence
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Although many cognitive and brain scientists have already studied human information processing mechanism of auditory and visual, separately, the relevance between auditory and visual information processing needs to be investigated in depth. We investigate human multi-perception mechanism by combining various psychological experiments, physiological measurements, data cleaning, modeling, transformation and mining techniques for developing artificial systems which match human ability in specific aspects. In particular, we observe fMRI (functional magnetic resonance imaging) brain activations from the view point of peculiarity oriented mining and propose a way of peculiarity oriented mining for knowledge discovery in multiple human brain data. We present an interesting result on modeling, transforming, and mining multiple human brain data obtained from visual and auditory psychological experiments by using the fMRI. The proposed methodology attempts to change the perspective of cognitive scientists from a single type of experimental data analysis towards a holistic view.