数据挖掘进展：ICDM 2006/会议录

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
The LNAI series reports state-of-the-art results in artificial intelligence re-search, development, and education, at a high level and in both printed and
electronic form. Enjoying tight cooperation with the R&D community, with
numerous individuals, as well as with prestigious organizations and societies,
LNAI has grown into the most comprehensive artificial intelligence research
forum available.
The scope of LNAI spans the whole range of artificial intelligence and intelli-
gent information processing including interdisciplinary topics in a variety of
application fields. The type of material published traditionally includes
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
LatticeAssociation 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
Mining Signals and Imges
Aspects of Data Mining
Anthor Index