Search results for: Data Analytics

• Data Analytics Meeting

  Events

  17-05-2024 08:30 - 18-05-2024 15:00

  Data Analytics Meeting Konferencja studentów i doktorantów

• Big Data Analytics for ICT Monitoring and Development

  Publication

  • C. Ritu
  • K. Harleen
  • E. Lechman
  • A. Marszk

  - Year 2017

  The expanded growth of information and communication technology has opened new era of digitization which is proving to be a great challenge for researchers and scientists around the globe. The utmost paradigm is to handle and process the explosion of data with minimal cost and discover relevant hidden information in the least amount of time. The buzz word “BIG DATA” is a widely anticipated term with the potential to handle heterogeneous,...

  Full text to download in external service

• Impact of AI-Based Tools and Urban Big Data Analytics on the Design and Planning of Cities

  Publication

  • D. D. Kamrowska-Załuska

  - Land - Year 2021

  Wide access to large volumes of urban big data and artificial intelligence (AI)-based tools allow performing new analyses that were previously impossible due to the lack of data or their high aggregation. This paper aims to assess the possibilities of the use of urban big data analytics based on AI-related tools to support the design and planning of cities. To this end, the author introduces a conceptual framework to assess the...

  Full text available to download

• Big Data Mining and Analytics

  Journals

  ISSN: 2096-0654

• Know your safety indicator – A determination of merchant vessels Bow Crossing Range based on big data analytics

  Publication

  • M. Gil
  • P. Kozioł
  • K. Wróbel
  • J. Montewka

  - RELIABILITY ENGINEERING & SYSTEM SAFETY - Year 2022

  Even in the era of automatization maritime safety constantly needs improvements. Regardless of the presence of crew members on board, both manned and autonomous ships should follow clear guidelines (no matter as bridge procedures or algorithms). To date, many safety indicators, especially in collision avoidance have been proposed. One of such parameters commonly used in day-to-day navigation but usually omitted by researchers is...

  Full text available to download

• International Journal of Data Science and Analytics

  Journals

  ISSN: 2364-415X , eISSN: 2364-4168

• Business Data Analytics-2022

  e-Learning Courses

  • N. Rizun

• Business Data Analytics-2023 /2024

  e-Learning Courses

  • N. Rizun

• IEEE International Conference on Data Science and Advanced Analytics

  Conferences

• DATA MINING (Field of study: Economic analytics 1st semester) -2022

  e-Learning Courses

  • N. Rizun