Sponsored by
   

Hosted / Organized by(Co-hosted / Co-organized by)
 

  * Submitted papers will be assigned to 3 reviewers (2 Program Committee members and 1 invited reviewer) within 1-4 working days.
  * Please be well-acquainted with the review process which can be found at the main menus.

Proceedings/ Special issues:
 * ICMIA2011 is sponsored by the IEEE, the IEEE Macau section and the IEEE Korea Council.
 * The proceedings will be published by the IEEE and included in the IEEE eXplore.
   (All papers of the AICIT Conferences are being uploaded to the IEEE eXplore.)
 * Papers published in the proceedings will also be included in eminent indexing databases such as EI(Compendex).
 * Selected Papers will be recommended to be published in eminent international journals being indexed by SCI/EI/SCOPUS.

- Authors of distinguished selected papers will be invited for the special issues of the following international journals being indexed by SCI(E)/EI
       - JCIT (EI, SCOPUS) (http://www.aicit.org/jcit)^Confirmed!
       - JDCTA (EI, SCOPUS) (http://www.aicit.org/jdcta)^Confirmed!
       - AISS (EI, SCOPUS) (http://www.aicit.org/aiss)^Confirmed!
       - IJACT (EI, SCOPUS) (http://www.aicit.org/ijact)^Confirmed!
       - SCI-indexed journals (to be added soon)

- List of Special Issues (2010)
       - Computers & Operations Research (SCI)
       - The Journal of Supercomputing (SCI)
       - Journal of Communications and Networks (JCN) (SCI)
       - IJITDM (International Journal of Information Technology and Decision Making) (SCI)

ICMIA, International Conference on Data Mining and Intelligent Information Technology Applications will be held in Macao from Oct. 24 ~ 26, 2011. 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:

• 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
  
  

Paper/ Presentation Types and Paper Format: Click here

Selected papers will be fast-track reviewed for special issues in some eminent international journals.