OBJECTIVES

Data mining is a promising and relatively new area of current research and development which can provide important advantages to the users. It can yield substantial knowledge from data primarily gathered for a wide range of quite different applications. Financial institutions have derived considerable benefits from its application and other industries and disciplines are now applying the methodology to increasing effect.

The second International Conference on Data Mining will provide an international forum for the sharing of original research results and practical development experiences among researchers and applications developers from different areas such as computer experts, statisticians, knowledge acquisition specialists, data analysts, IT consultants, data visualisation experts, and users and developers in business and industry.

The Conference aims to bring together the participants from academic and research, industry and government organisations. The meeting will allow participants to learn about the many different applications of data mining and how the techniques can help in their own field.

TOPIC CATEGORIES

• Applications of Data Mining in Science, Engineering, Business,Industry, Medicine
• Data Warehousing and Databases
• Internet Applications
• Fraud Detection and Prevention
• Data Mining as a Tool for Marketing and Sales Support
• Managing Data Mining Projects
• Data Mining Software
• Data Discovery
• Data Mining Methodologies
• Knowledge Discovery and Data Mining
• Multi-database Mining
• Machine Learning Methods
• Neural Networks and Decision Trees
• Genetic Algorithms in Data Mining
• Parallel and Distributed Techniques
• Market Basket Analysis
• Visualisation in Data Mining
• Statistically Based Tools
• Clustering and Classification Techniques
• Tools for Pattern Discovery
• Prediction of Future Trends with Historical Data Case Studies