ICMIA, International Conference on Data Mining and Intelligent Information Technology Applications will be held in Taipei from October 23 - 25, 2012. Selected papers will be published in international journals as revised monographs.
Introduction to ICMIA
Objectives and Vision
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:
- 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
- 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
- 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
Paper/ Presentation Types and Paper Format: Click here
Selected papers will be fast-track reviewed for special issues in some eminent international journals.