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.