Principles of Data Mining and Knowledge Discovery

Profiling for Identifying Superimposed Fraud.- OPTICS-OF: Identifying Local Outliers.- Posters.- Selective Propositionalization for Relational Learning.- Circle Graphs: New Visualization Tools for Text-Mining.- On the Consistency of Information Filters for Lazy Learning Algorithms.- Using Genetic Algorithms to Evolve a Rule Hierarchy.- Mining Temporal Features in Association Rules.- The Improvement of Response Modeling: Combining Rule-Induction and Case-Based Reasoning.- Analyzing an Email Collection Using Formal Concept Analysis.- Business Focused Evaluation Methods: A Case Study.- Combining Data and Knowledge by MaxEnt-Optimization of Probability Distributions.- Handling Missing Data in Trees: Surrogate Splits or Statistical Imputation?.- Rough Dependencies as a Particular Case of Correlation: Application to the Calculation of Approximative Reducts.- A Fuzzy Beam-Search Rule Induction Algorithm.- An Innovative GA-Based Decision Tree Classifier in Large Scale Data Mining.- Extension to C-means Algorithm for the Use of Similarity Functions.- Predicting Chemical Carcinogenesis Using Structural Information Only.- LA - A Clustering Algorithm with an Automated Selection of Attributes, Which is Invariant to Functional Transformations of Coordinates.- Association Rule Selection in a Data Mining Environment.- Multi-relational Decision Tree Induction.- Learning of Simple Conceptual Graphs from Positive and Negative Examples.- An Evolutionary Algorithm Using Multivariate Discretization for Decision Rule Induction.- ZigZag, a New Clustering Algorithm to Analyze Categorical Variable Cross-Classification Tables.- Efficient Mining of High Confidence Association Rules without Support Thresholds.- A Logical Approach to Fuzzy Data Analysis.- AST: Support for Algorithm Selection with a CBR Approach.- Efficient Shared Near Neighbours Clustering of Large Metric Data Sets.- Discovery of "Interesting" Data Dependencies from a Workload of SQL Statements.- Learning from Highly Structured Data by Decomposition.- Combinatorial Approach for Data Binarization.- Extending Attribute-Oriented Induction as a Key-Preserving Data Mining Method.- Automated Discovery of Polynomials by Inductive Genetic Programming.- Diagnosing Acute Appendicitis with Very Simple Classification Rules.- Rule Induction in Cascade Model Based on Sum of Squares Decomposition.- Maintenance of Discovered Knowledge.- A Divisive Initialisation Method for Clustering Algorithms.- A Comparison of Model Selection Procedures for Predicting Turning Points in Financial Time Series.- Mining Lemma Disambiguation Rules from Czech Corpora.- Adding Temporal Semantics to Association Rules.- Studying the Behavior of Generalized Entropy in Induction Trees Using a M-of-N Concept.- Discovering Rules in Information Trees.- Mining Text Archives: Creating Readable Maps to Structure and Describe Document Collections.- Neuro-fuzzy Data Mining for Target Group Selection in Retail Banking.- Mining Possibilistic Set-Valued Rules by Generating Prime Disjunctions.- Towards Discovery of Information Granules.- Classification Algorithms Based on Linear Combinations of Features.- Managing Interesting Rules in Sequence Mining.- Support Vector Machines for Knowledge Discovery.- Regression by Feature Projections.- Generating Linguistic Fuzzy Rules for Pattern Classification with Genetic Algorithms.- Tutorials.- Data Mining for Robust Business Intelligence Solutions.- Query Languages for Knowledge Discovery in Databases.- The ESPRIT Project CreditMine and its Relevance for the Internet Market.- Logics and Statistics for Association Rules and Beyond.- Data Mining for the Web.- Relational Learning and Inductive Logic Programming Made Easy.