Web Intelligence Meets Brain Informatics

Web Intelligence Meets Brain Informatics.- Neuroscience: New Insights for AI?.- Network Thinking and Network Intelligence.- Synergy of Web Intelligence and Brain Informatics.- Web Intelligence Meets Brain Informatics at the Language Barrier: A Procrustean Bed?.- Conversational Informatics Where Web Intelligence Meets Brain Informatics.- Intelligence for Upgrading Information.- Toward Perception Based Computing: A Rough-Granular Perspective.- Granular Computing: Modeling Human Thoughts in the Web by Polyhedron.- Cognitive Science, Neuroscience, and Brain Informatics.- Biophysical Models of Neural Computation: Max and Tuning Circuits.- Cognitive Architectures and the Challenge of Cognitive Social Simulation.- ACT-R Meets fMRI.- The Neural Mechanism of Human Numerical Inductive Reasoning Process: A Combined ERP and fMRI Study.- Central Nervous Processing for Acupuncture at Liv3 with fMRI: A Preliminary Experience.- A Role for Signal Propagation Through the Hippocampal CA2 Field in Memory Formation.- Genetic Granular Cognitive Fuzzy Neural Networks and Human Brains for Pattern Recognition.- Domain-Oriented Data-Driven Data Mining (3DM): Simulation of Human Knowledge Understanding.- An Ontology-Based Mining System for Competitive Intelligence in Neuroscience.- Web Intelligence Applications.- Supervised Web Document Classification Using Discrete Transforms, Active Hypercontours and Expert Knowledge.- Fuzzy Web Surfer Models: Theory and Experiments.- Intuitive Display for Search Engines Toward Fast Detection of Peculiar WWW Pages.- GridMiner: An Advanced Grid-Based Support for Brain Informatics Data Mining Tasks.- A Semantically Enabled Service Oriented Architecture.- Spam Filtering and Email-Mediated Applications.- Ontology Based Web Mining for Information Gathering.- A Reasonable Rough Approximation for Clustering Web Users.- E-Business Intelligence Via MCMP-Based Data Mining Methods.- Intelligence Metasynthesis in Building Business Intelligence Systems.- Risk Mining in Medicine: Application of Data Mining to Medical Risk Management.- Using Cryptography for Privacy Protection in Data Mining Systems.