This book is a compilation of papers presented at the Ninth International Conference on Data Mining and Information Engineering. Data mining, including text mining and business applications, is a field of active current research and development that can yield substantial knowledge from data gathered from a wide range of applications. Many institutions have derived considerable benefits from these applications, and are now applying the methodology to increasing effect. Information engineering systems can be applied in many areas, including environmental conservation, economic planning, resource integration, cartography, urban planning, risk assessment, pollution control and transport management. The conference reflected ways in which this technology plays an active role in linking economic development and environmental conservation planning.Of interest to researchers from academia and industry, as well as application developers from many areas, the papers in these proceedings are arranged into the following topics: Data preparation; Clustering technologies; Customer relationship management; Text mining; Web mining; Categorization methods; Applications in science and engineering; Information systems strategies and methodologies; Applications in business, industry and government; Security applications; Applications in medicine and genetics; and Economic intelligence.

Table of Contents:
Section 1: Advances in data mining An approach to finding reduced sets of information features describing discrete objects based on rough sets theory; Neural network modeling of the nonlinear dynamic structural offshore system with hysteresis; Fast outlier detection using rough sets theory; A fully sensitive correlation measure for data mining; Generalized k-means algorithm on nominal dataset; Flexible database transformation for XML-RDBMS; A rules reduction algorithm based on significance measure; Can the wavelet-kernel methodology improve other kernel techniques?; Mining spatial and temporal data to classify water quality: a case study Section 2: Text mining Cluster analysis in document networks; Two novel term weighting for text categorization; Finding the real subject: the application of categorisation methods to forum messages; Kohonen self-organising maps in the data mining of wine taster comments; Searching for innovation through a convergent technology e-science network approach Section 3: Business and socioeconomic applications Constructing social and economic indicators for EU countries using dynamic classification: case studies; Model of location for service station; Knowledge discovery for CRM improvement; Financial performance of air transport companies: an analysis of the non-Pareto-efficient space in data envelopment analysis; Benford's Law, data mining, and financial fraud: a case study in New York State Medicaid data; A semi-deterministic ensemble strategy for imbalanced datasets (SDEID) applied to bankruptcy prediction; Fuzzy Multicriteria analysis for evaluation of risks in complex engineering projects in the Aeronautical industry; An intelligent decision support system for bridge safety assessment based on Data Mining models Section 4: Security applications Online Police Station, a cutting edge service against cybercrime; A data system for the security and tracking of goods containers; Link mining for contextual prioritization of tactical information; Duo-mining with multi-agents: the next wave to control organised crime; Selective alerts for runtime protection of distributed systems