Risk Analysis: Pt.4(No.9 Management Information Systems)

The analysis and management of risk and the mitigation of hazards is of fundamental importance to planners and researchers around the world. The papers featured in this book come from the fourth in the popular international conference series on this subject and cover areas such as: Estimation of Risk; Man-Made Risk; Seismic Hazard; External Events - Terrorism and Sabotage; Risk Perception and Philosophy; Landslides and Slope Movements; Data Collection Analysis; Emergency Response; Soil and Water Contamination; and Air Quality Studies. The information provided will be essential to engineers and managers involved in the development of simulated risk analysis as well as researchers concerned with these problems.

Table of Contents:
Section 1: Text Mining Personalization in the semantic web era: a glance ahead; A simple mixture model for unsupervised text categorisation; Data warehouse screening and personalizing agent; Extracting people's names from RSS feeds using WordNet; Stock Broker P - sentiment extraction for the stock market; An XML based semantic protein map; Automated text mining comparison of Japanese and USA multi-robot research Section 2: Web Mining The influence of caching on web usage mining; Clickstreams, the basis to establish user navigation patterns on web sites Section 3: Techniques Section 3a: Clustering Robust clustering methods for incomplete and erroneous data; Clustering as an add-on for firewalls; Exploration of the ecological status of Mediterranean rivers: clustering, visualizing and reconstructing streams data using Generative Topographic Mapping Section 3b: Categorization A fuzzy decision tree approach to start a genetic algorithm for data classification; Fuzziness as a recognition problem: using decision tree learning algorithms for inducing fuzzy membership functions Section 3c: Link analysis Mining association rules with negative terms using candidate pruning; Association rules model of e-banking services Section 3d: Data preparation An algebraic approach to defining rough set approximations and generating logic rules; Scalability issue in mining large data sets; A Bayesian approach for supervised discretization; A statistical and signal processing based system for data quality management Section 4: Applications in Business, Industry and Government An e-Knowledge application for local government and small and medium businesses; Daily sugar price forecasting using the Mixture of Local Expert Models; A visual tool for mining macroeconomics data; Data mining in publishing: a nice feature or a necessity?; A practical implementation of a real-time intrusion prevention system for commercial enterprise databases; The applications of genetic algorithms in stock market data mining optimisation; Genetic algorithm applied on the performance appraisal system of mutual fund managers in Taiwan; Collusion in the US crop insurance program: applied data mining Section 5: Customer Relationship Management Analysis of service quality indicators in telecommunications using control statistical methods and fuzzy logic; Mining call center dialog data; A naive KDD approach in a Key Account Management Framework: a case study; Customer valuation through data mining; A data mining approach to analysis and prediction of movie ratings Section 6: Applications in Science and Engineering New search strategies and a new derived inequality for efficient k-medoids-based algorithms; A data mining approach to support the development of new fuels and technology; Data mining highly multiple time series of astronomical observations; A Model-View-Controller architecture for Knowledge Discovery; MZ-Platform: a component switching and executing environment; Data mining approach to study Quality of Voice over IP applications; Data mining and population genetics of birth defects: preliminary investigation; A data mining approach to landslide prediction