2005智能数据工程与自动化学习/2005年国际会议录/Intelligent Data Engineering and Automated Learning

北京燕山出版社  

Gallagher, Marcus; Hogan, James; Maire, Frederic  

599  

The LNCS series reports state-of-the-art restilts in computer science research, development, and education, at a high lewl and in both printed and electronic form. Enjoying tight cooperation with the R&D community, with numerous individuals, as wetl as with prestigious organizations andsocieties, LNCS has grown into the most comprehensiye computer science research forum available. The scope of LNCS, including its subseries LNAI and LNBI, spans the whole range 0f computer science ard information technology including interdisciplinary topics in a vatety of application fields. The type of materia! published traditionatly includes -proceedings-(published:in time for the lrespective conference) -post-proceedings (consisting of thorodghly revised final full papers) -research monographs (which may be based on outstanding PhD work,research projects, technical reports, etc.)

Data Mining and Knowledge Engineering EXiT-B: A New Approach for Extracting Maximal Frequent Subtrees from XML Data Synthetic Environment Representational Semantics Using the Web Ontology Language New Rules for Hybrid Spatial Reasoning Using Pre-aggregation for Efficient Spatial Query Processing in Sensor Environments Model Trees for Classification of Hybrid Data Types Finding Uninformative Features in Binary Data Knowledge Reduction of Rough Set Based on Partition Multiresolution Analysis of Connectivity Kernel Biased Discriminant Analysis Using Histogram Intersection Kernel for Content-Based Image Retrieval Unsupervised Image Segmentation Using Penalized Fuzzy Clustering Algorithm Multi-attributes Image Analysis for the Classification of Web Documents Using Unsupervised Technique Automatic Image Annotation Based on Topic-Based Smoothing A Focused Crawler with Document Segmentation An Intelligent Grading System Using Heterogeneous Linguistic Resources Probabilistic Data Generation for Deduplication and Data Linkage Mining Job Logs Using Incremental Attribute-Oriented Approach Dimensional Reduction of Large Image Datasets Using Non-linear Principal Components Classification by Instance-Based Learning Algorithm Analysis/Synthesis of Speech Signals Based on AbS/OLA Sinusoidal Modeling Using Elliptic Filter Robust Model Adaptation Using in Linear Spectral Domain Mean and Variance Transformations Using Support Vector Machine for Modeling of Pulsed GTAW Process Design of Simple Structure Neural Voltage Regulator for Power Systems EEG Source Localization for Two Dipoles in the Brain Using a Combined Method Intelligent Control of Micro Heat Exchanger with Locally Linear Identifier and Emotional Based Controller Identification of Anomalous SNMP Situations Using a Cooperative Connectionist Exploratory Projection Pursuit Model……Learning ALgorithms and SystemsBioinformaticsTgents and Comples SYstemsFinancial EngineeringAuthor Index

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