Chance Discoveries in Real World Decision Making: Data-based Interaction of Human intelligence and Artificial Intelligence - Studies in Computational Intelligence 2006 edition

Marc Notes: Title from e-book title screen (viewed June 27, 2008).; Includes bibliographical references.; Electronic reproduction.; UK: MyiLibrary; 2007. Table of Contents: Basis.- Chance Discovery: The Current States of Art.- The Structure of Scenario Communication and Chance Discovery.- Complexity in the Discovery of Chance: Daily Life Criticality.- Computational.- Chance Discovery.- Scenario Maps on Situational Switch Model, Applied to Blood-Test Data for Hepatitis C Patients.- Uncertainty Reasoning and Chance Discovery.- Digital Modulation Classification using Fuzzy Neural Networks.- Chance Discovery using Complementary Learning Fuzzy Neural Network.- Communication.- Modeling Influence Diffusion in Human Society.- Resonance without Response: The Way of Topic Growth in Communications.- Scenario to Data Mapping Algorithm and Its Application to Chance Discovery Process Support.- Smart Discussion Environment on a Bulletin Board System.- Cognitive.- Prefiguring Ethical Chances: The Role of Moral Mediators.- A NeuroCognitive Approach to Decision-Making in Chance Discovery.- Design and Marketing.- Creative Marketing as Application of Chance Discovery.- Extracting High Quality Scenario for Consensus on Specifications of New Products.- Is there a Needle in the Haystack?.- A Requirement Acquisition Process as an Evolved Chance Discovery.- ConExSIR: A Dialogue-based Framework of Design Team Thinking and Discovery.- Risk.- Chance Discovery in Credit Risk Management - Estimation of Chain Reaction Bankruptcy Structure by Chance Discovery Method.- E-Nightingale: Crisis Detection in Nursing Activities.- Understanding of Dark Events for Harnessing Risk.- Mining Hospital Management Data using R. Publisher Marketing: Includes methods that are based on the interaction of human, machine, and humans' living environment. This book includes chapters that contain contributions to identifying rare or hidden events and explaining their significance.