《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》内容简介 ：

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 and
societies, 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.)

当当目录 ：

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 Systems
Bioinformatics
Tgents and Comples SYstems
Financial Engineering
Author Index