91/5/6~91/5/8
原文網址:http://arbor.ee.ntu.edu.tw/pakdd02/
The
Sixth Pacific-Asia Conference on Knowledge Discovery and
Data Mining (PAKDD-02) will provide an international forum
for the sharing of original research results and practical
development experiences among researchers and application
developers from different KDD related areas such as data
mining, data warehousing, machine learning, databases,
statistics, knowledge acquisition and discovery, data
visualization, and knowledge-based systems. Areas of interest
include, but are not limited to:
* Data and Knowledge Representation
* Expanding the Autonomy of Machine Discovers
* Scientific Discovery
* Machine Learning Methods
* Statistical Methods
* Inductive Logic Programming
* Deduction, Induction and Abduction
* Multi-criteria Evaluation and Data Mining Metrics
* Models and Framework of New Data Mining Capabilities
* Performance Evaluation of Mining Algorithms
* Data and Dimensionality Reduction
* Preprocessing and Postprocessing
* Interestingness Checking of Data and Rules
* Management and Refinement for the Discovered Knowledge
* Data and Knowledge Visualization
* On Line Analytical Processing
* KDD Process and Human Interaction
* Rough Sets in Data Mining
* Neural Networks, Probabilistic Reasoning
* Noise Handling and Uncertainty Management
* Hybrid Symbolic/Connectionist KDD Systems
* Multi-Database Mining
* Data Mining in Advanced Databases (OODB, Spatial DB,
Multimedia DB)
* Integration of Data Warehousing, OLAP and Data Mining
* Combining Data Mining with Database Querying
* Parallel and Distributed Data Mining
* Data Mining in the WWW
* Multi-agent, Multi-task KDD Systems
* Data Mining from Unstructured and Multimedia Data
* Unification of Data Mining with Intelligent Information
Retrieva
l* Security and Privacy Issues
* Successful/Innovative KDD Applications in Science, Engineering,
Medicine, Business, Education, Government, and Industry
|