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Call For Papers

The ICDMSIE bridges the gap between academia and industry by promoting research with practical applications. It provides a platform for professionals and researchers to share insights that drive real-world impact.

The conference focuses on Data Mining, encouraging applied research, case studies, and industry-driven innovations.

Authors are invited to submit papers addressing, but not limited to, the following areas:

  • Data mining for smart infrastructure solutions
  • Machine learning in infrastructure engineering
  • Big data challenges in smart cities
  • Data-driven approaches to infrastructure management
  • Sensor technologies for smart infrastructure
  • Data visualization techniques for infrastructure data
  • Artificial intelligence in infrastructure applications
  • Data mining for urban infrastructure optimization
  • Statistical methods in infrastructure research
  • Integration of IoT in smart infrastructure
  • Data management for infrastructure projects
  • Data mining for energy-efficient buildings
  • Trends in smart infrastructure data analytics
  • Real-time data analysis for infrastructure systems
  • Data mining for transportation infrastructure
  • Cybersecurity in smart infrastructure systems
  • Data-driven decision making in urban planning
  • Data mining for sustainable infrastructure solutions
  • Data mining for infrastructure resilience assessment
  • Data mining for community infrastructure needs

Evaluation

Submissions will be evaluated based on applicability, innovation, and research contribution. Accepted papers will be presented and considered for publication in relevant journals and proceedings.

Registration

Complete your registration to participate in discussions that bridge academia and industry, and gain exposure to practical insights.

Publication

Selected papers will be considered for publication platforms that support academic and industry collaboration.