Data Mining

Illustrating recent advances in data mining problems, encompassing both original research results and practical development experiences, this book features the proceedings of the International Conference on Data Mining held in Rio de Janeiro in September 1998. Contributions from academia and industry, covering such diverse areas as machine learning, databases, statistics, knowledge acquisition, data visualization and knowledge-based systems are included.

Table of Contents:
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.