Data Mining

Invited Technical Conference: Learning from Data - Building, Evaluating and Understanding Models. Part 1 - Data Mining Methods I: A Multi-criteria Approach for the Evaluation of Rule Interestingness. Learning an Optimized Classification System from a Database of Time Series Patterns using Genetic Algorithms. Modeling Financial Data using Clustering and Tree-based Approaches. Categorization and Evaluation of Data Mining Techniques. Vizualization for Knowledge Discovery in Database. ADDKnowledge - A Tool of Semiautomatic Acquisition of Knowledge for the Construction of Specialist Systems. The Determination Measure. Mining Binary Attributes. Part 2 - Data Mining Methods II: Experimental Feature Selection using the Wrapper Approach. Data Mining Agents. A Compound Test with High Confidence Level for Gross Error Detection. Knowledge Discovery with Retail Basket Analysis. How to Get More Donors - Unicef Database Marketing and Data Mining for Non-commercial Organisations. Finding the N Largest Itemsets. A Knowledge Acquisition Method for Fuzzy Expert Systems - An Improvement via Mountain-Clustering. Spatial Data Mining with Fuzzy Decision Trees. Part 3 - Neural Networks Applications: Artificial Nose and Data Analysis using Multi-layer Perceptron. Forecasting of the German Stock Index DAX with Neural Networks - Using Daily Data for Experiments with Input Variable Reduction and a Modified Error Function. Neural Networks on the Dynamic Models Updating. Rule Extraction from Neural Networks in Data Mining Applications. Extracting Rules from Neural Networks - A Data Mining Approach. Using Data Mining to Learn Patterns of Pitch Variation in Chinese Speech. Ship's Classification by its Magnetic Signature - A Neuro-genetic Approach. A Comparison of Methods for Customer Classification. Part 4 - Mining from Databases: Events Specification in Active Database Management System. Constructing Data Mining Functionalities in a DBMS. A Knowledge-based Perspective of the Distributed Design of Object Oriented Databases. A Decision Support System that Reverse Engineers Abstract Database Transactions - The Conceptual Model. Data Mining - A Database Perspective. Knowledge Explorer - A Prototype for Mining Knowledge from Databases.