Conference Information

ICTDM 2021: International Conference on Communication Technology and Data Mining

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ICTDM
Submission Date:
2021-05-25 Extended
Notification Date:
2021-06-10
Conference Date:
2021-07-29
Location:
Hangzhou, China
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Call For Papers

ICTDM 2021 (International Conference on Communication Technology and Data Mining) is an academic conference held in Hangzhou, China on 2021-07-29. The paper submission deadline is 2021-05-25 (extended). Acceptance notifications are sent on 2021-06-10.

2021 International Conference on Communication Technology and Data Mining (ICTDM 2021) is the premier forum for the presentation of new advances and research results in the fields of Communication Technology and Data Mining. The conference will bring together leading researchers, engineers and scientists in the domain of interest from around the world. Topics of interest for submission include, but are not limited to: 1.Communication Technology Topics: Network and Wireless Communication VLSI Circuits and Systems Design Information Hiding and Watermarking Multimedia Network and Information Security RF Front-End Circuits and Systems Intelligent Mobile Device Design Coding and Signal Processing Wearable Technology Microwave/MM-Wave/THz Circuits and Syste Internet of Things and Big data Computer Vision and Artificial Intelligence 5G Communication and Network Green Communication Systems Communication Device Modeling EMC and Antenna Design Others 2.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 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
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