Advances in Data Mining

This book constitutes the refereed proceedings of the 6th Industrial Conference on Data Mining, ICDM 2006, held in Leipzig, Germany in July 2006. Presents 45 carefully reviewed and revised full papers organized in topical sections on data mining in medicine, Web mining and logfile analysis, theoretical aspects of data mining, data mining in marketing, mining signals and images, and aspects of data mining, and applications such as intrusion detection, and more.

Inhalt

Data Mining in Medicine.- Using Prototypes and Adaptation Rules for Diagnosis of Dysmorphic Syndromes.- OVA Scheme vs. Single Machine Approach in Feature Selection for Microarray Datasets.- Similarity Searching in DNA Sequences by Spectral Distortion Measures.- Multispecies Gene Entropy Estimation, a Data Mining Approach.- A Unified Approach for Discovery of Interesting Association Rules in Medical Databases.- Named Relationship Mining from Medical Literature.- Experimental Study of Evolutionary Based Method of Rule Extraction from Neural Networks in Medical Data.- Web Mining and Logfile Analysis.- httpHunting: An IBR Approach to Filtering Dangerous HTTP Traffic.- A Comparative Performance Study of Feature Selection Methods for the Anti-spam Filtering Domain.- Evaluation of Web Robot Discovery Techniques: A Benchmarking Study.- Data Preparation of Web Log Files for Marketing Aspects Analyses.- UP-DRES User Profiling for a Dynamic REcommendation System.- Improving Effectiveness on Clickstream Data Mining.- Conceptual Knowledge Retrieval with FooCA: Improving Web Search Engine Results with Contexts and Concept Hierarchies.- Theoretical Aspects of Data Mining.- A Pruning Based Incremental Construction Algorithm of Concept Lattice.- Association Rule Mining with Chi-Squared Test Using Alternate Genetic Network Programming.- Ordinal Classification with Monotonicity Constraints.- Local Modelling in Classification on Different Feature Subspaces.- Supervised Selection of Dynamic Features, with an Application to Telecommunication Data Preparation.- Using Multi-SOMs and Multi-Neural-Gas as Neural Classifiers.- Derivative Free Stochastic Discrete Gradient Method with Adaptive Mutation.- Data Mining in Marketing.- Association Analysis of Customer Services from the Enterprise Customer Management System.- Feature Selection in an Electric Billing Database Considering Attribute Inter-dependencies.- Learning the Reasons Why Groups of Consumers Prefer Some Food Products.- Exploiting Randomness for Feature Selection in Multinomial Logit: A CRM Cross-Sell Application.- Data Mining Analysis on Italian Family Preferences and Expenditures.- Multiobjective Evolutionary Induction of Subgroup Discovery Fuzzy Rules: A Case Study in Marketing.- A Scatter Search Algorithm for the Automatic Clustering Problem.- Multi-objective Parameters Selection for SVM Classification Using NSGA-II.- Effectiveness Evaluation of Data Mining Based IDS.- Mining Signals and Images.- Spectral Discrimination of Southern Victorian Salt Tolerant Vegetation.- A Generative Graphical Model for Collaborative Filtering of Visual Content.- A Variable Initialization Approach to the EM Algorithm for Better Estimation of the Parameters of Hidden Markov Model Based Acoustic Modeling of Speech Signals.- Mining Dichromatic Colours from Video.- Feature Analysis and Classification of Classical Musical Instruments: An Empirical Study.- Automated Classification of Images from Crystallisation Experiments.- Aspects of Data Mining.- An Efficient Algorithm for Frequent Itemset Mining on Data Streams.- Discovering Key Sequences in Time Series Data for Pattern Classification.- Data Alignment Via Dynamic Time Warping as a Prerequisite for Batch-End Quality Prediction.- A Distance Measure for Determining Similarity Between Criminal Investigations.- Establishing Fraud Detection Patterns Based on Signatures.- Intelligent Information Systems for Knowledge Work(ers).- Nonparametric Approaches for e-Learning Data.- An Intelligent Manufacturing Process Diagnosis System Using Hybrid Data Mining.- Computer Network Monitoring and Abnormal Event Detection Using Graph Matching and Multidimensional Scaling.