Advances in Data Mining. Applications in Medicine, Web Mining, Marketing, Image and Signal Mining 6th Industrial Conference on Data Mining, ICDM 2006, Leipzig, Germany, July 14-15, 2006. Proceedings /

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Perner, Petra (Επιμελητής έκδοσης)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg, 2006.
• Σειρά: Lecture Notes in Computer Science, 4065
• Θέματα: Computer science.; Database management.; Information storage and retrieval.; Artificial intelligence.; Image processing.; Pattern recognition.; Computer Science.; Artificial Intelligence (incl. Robotics).; Pattern Recognition.; Image Processing and Computer Vision.; Information Storage and Retrieval.; Information Systems Applications (incl. Internet).; Database Management.

The Industrial Conference on Data Mining ICDM-Leipzig was the sixth event in a series of annual events which started in 2000. We are pleased to note that the topic data mining with special emphasis on real-world applications has been adopted by so many researchers all over the world into their resea...

Πίνακας περιεχομένων:

• 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.