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ISSN : 2234-3660 (Print)
ISSN : 2234-3679 (Online)
Scope, Paper type, Format
Format for Body:- Papers prepared in MS-WORD (doc) formats may be submitted electronically to IJMIA¡¯s web site. In order to submit the paper, you have to be registered in our web site. - Please strictly follow the designated format for IJMIA. To download the template file click here(DOC) - Manuscripts submitted to this journal will be deemed as they have not been published and are not under consideration for publication elsewhere. - Please visit the journal¡¯s site for more information. (http://www.aicit.org/ijmia) |
Paper Types:We welcome all kinds of the papers, reports and articles which can give meaningful information to other authors/members. - Original Research papers - Technical Reports - Technical Articles - Surveys and/or Analysis of the New Trends We invite you to submit a paper should be written at least 6 pages (except "References") in AICIT Format. |
Scope and TopicsScope: *Research Papers *Technical/Industrial Application Results Topic 1: Core Data Mining Topic 2: Information Technology Applications Related Topic 3: Data Mining For Intelligent IT Application Topic 1: Core Data Mining
- 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 Topic 2: Information Technology Applications Related
- 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 Topic 3: Data Mining For Intelligent IT Application
- 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 |
