ICMIA 2011 - 3rd International Conference on Data Mining and Intelligent Information Technology Applications (ICMIA2011)

The 3nd International Conference on Data Mining

and Intelligent Information Technology Applications (ICMIA 2011)

Important Dates

ICMIA 2011: October 24 - 26, Macau, China

ICMIA, International Conference on Data Mining and Intelligent Information Technology Applications will be held in 2011, Macau. Selected papers will be included as revised monographs in the international journals.
ICMIA - Introduction

Introduction to ICMIA conference

In this decade, with advancements in data mining, many new models and tools in discovering knowledge and extracting intelligence brought forth revolutionary developments in information technology (IT) applications in business world as well as other industries. Some examples are intelligent agents, knowledge-driven trading systems, optimized scheduler for logistics, decision support systems, forecasting applications, and other emerging collective intelligence applications such as Web 2.0. Data mining can be viewed as the core underlying techniques that enable the IT applications with actionable intelligence and knowledge. While Data Mining evolves with innovative learning algorithms and knowledge discovery techniques, IT applications harness the results of data mining for becoming more intelligent than ever.

ICMIA, which stands for International Conference on Data Mining and Intelligent Information Technology Applications, is a platform for the two research directions to converge. It aims to provide an intellectual forum for researchers in academia, and practitioners and engineers from IT industries to present their latest research findings and to identify future challenges in this novel combination of research areas.

ICMIA serves as a convergent point for sparking new ideas and generating new synergies from experts of the two fields.

Technical Themes of Interest

We especially encourage paper submissions from the two categories of topics: Data mining and Intelligent IT applications, ranging from theories, algorithms, analysis, models, designs, applications to industry experiences. Topics include but not necessarily limited to the following areas:

Group 1) Core Data Mining Topics:
- Data Pre-Processing, Data Transformation and Dimensionality Reduction
- Feature Extraction and Feature Selection
- Data Mining Algorithms
- Data Analytics Foundations
- Real-time Mining, Data Stream Mining, and Dynamic Data Mining
- Visual Mining and Data Visualization
- Statistical Learning Theory and Neural Network Research
- Graph Mining and Semi-Structured Data
- Spatial and Temporal Data Mining
- Uncertainty Modeling in Data Mining
- Web Mining

Group 2) Information Technology Applications Related Topics:
- E-Commerce, E-Business and E-Learning
- Web Information Systems
- Web Content Generation and Management
- Telecommunication and Wireless Communications
- Database Technology
- Data Modelling and Engineering
- Multimedia Technology
- Healthcare Applications and Medical Diagnosis
- Security and Forensic Applications
- IT Software Development and Methodology
- IT Applications for Agriculture Management
- Other Industrial Applications
- The Latest Advances in IT

Group 3) Data Mining For Intelligent IT Application Topics:
- Convergence of Data Mining and Intelligent IT Applications
- How Data Mining Techniques have been used in IT Applications
- Novel Applications of Intelligent IT Techniques for Complex Systems
- Robustness and Scalability Issues of Intelligent IT Techniques
- Agent-based Data Analysis and Knowledge Discovery
- Intelligent Multi-gent Systems
- Intrusion Detection and Access Control Techniques
- Data-mining Applications for Terrorist Network Tracing
- Crime Modeling, Fraud and Misuse Detection
- Credit Scoring, Financial Modeling and Forecasting
- CRM, e-Marketing and e-Commerce Recommender
- Web Intelligence
- Prediction Systems
- Knowledge Management
- Decision Analysis and Decision Support Systems
- Industrial Applications of Business Analytics and Optimization
- Performance Evaluation in Intelligent IT applications
- Emerging Intelligent IT Applications and Lessons Learned