As a result of technological advances in fiber and information systems, data generation, data transmission, processing and storage are facilitated with increased data transmission performance. However, this situation has resulted in the formation of digital data stack. Data discipline and engineering discipline has emerged to give meaning to data stacks, analyze data stacks and transform them into information. Implementation of data science and engineering methods enables administrators to make effective and quick decisions to increase operational efficiency as well as to keep the pulse of the society, employees and institutions. With the increase of global competition and the development of technology, the training of experts in this field gained importance with the studies carried out in the field of data science and engineering. For this reason, the target mass of the IDSES Symposium; academicians that working in this field, data miners, data engineers and researchers who want to improve themselves.

Under the IDSES Symposium, it is aimed to emphasize the importance of the subject, to follow the developments, to provide the interaction of the researchers with the experts in the field and to share the information. During the Symposium, the participants will present their work with a full paper, and the participants will have their lunch breaks, lunch and dinner served by Karabük University. There will also be a badge, participation certificate and symposium bag. At the end of the symposium, the participants will be organized a tour of historical and touristic places of Safranbolu, which has been listed on the World Heritage City list by Unesco since December 17, 1994.

Student scholarship for accommodation:
Paper Submission

Kongre tanıtımında makale kabul sürecinin peer review, blind review, according to reviewers/referees hakem değerlendirmeleri sonucunda yapılacaktır.


  • Data Science
  • Data Mining and Knowledge Discovery
  • Scientific Data Management
  • Business Analytics
  • Predictive Analytics
  • Data Engineering
  • Information Technology and Society
  • Data Discovery
  • Data Science for Modern Manufacturing
  • Benchmarking, Perfomance Modelling
  • Machine Learning and Deep Learning
  • Artificial Intelligence
  • Big Data Analytics and Metrics
  • Cloud Computing
  • Hadoop and Spark Performance for Enterprise
  • High Performance Computing Methods
  • Data Integration, Metadata Management and Interoperability
  • Data Visualization and Interactive Data Exploration
  • Information Extraction, Data Cleaning, Data Quality
  • Database Privacy, Security and Trust
  • Industrial and Engineering Applications
  • Social Networks
  • IDSEW'18



    Balıklar Kayası Mevkii Demir Çelik Kampüsü
    Karabük – TURKEY


    +90 (370) 444 0 478