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Author:   Petra Perner
Publisher:   Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Imprint:   Springer-Verlag Berlin and Heidelberg GmbH & Co. K
Edition:   2006 ed.
Volume:   4065
Dimensions:   Width: 15.50cm , Height: 3.10cm , Length: 23.50cm
Weight:   1.860kg
ISBN:  

9783540360360

ISBN 10:   3540360360
Pages:   600
Publication Date:   30 June 2006
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   In Print  
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Table of Contents

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.

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