PROGRAM

May 2, 2019 Thursday - Program
9:00-10:00 Registration
10:00-10:20 Opening Ceremony Prof. Dr. Refik POLAT / President, Karabük University
10:20-10:40 Keynote Speech Prof. Dr. Filiz ERSÖZ, Karabük University
10:40-11:00 Keynote Speech Prof. Dr. Stan URYASEV, Karabük University
11:00-11:20 Keynote Speech Prof.Dr. Necmi GÜRSAKAL, Fenerbahçe University
11:20-11:30 Coffee Break
11:30-11:50 Keynote Speech Assoc. Prof. Sadia Samar ALİ, King Abdulaziz University
11:50-12:10 Keynote Speech Prof. Dr. Ahmet ÖZTÜRK, Uludağ University
12:10-12:30 Keynote Speech Prof. Dr. Serhii YEVSEIEV, Kharkiv National University
12:30-12:50 Keynote Speech Prof. Dr. Gerhard Wilhelm WEBER, Poznan University
12:50-13:30 Lunch Break
13:30-18:00 Parallel Session 1: Big Data Analytics and Metrics (Prof. Dr. Necmi GÜRSAKAL)
Parallel Session 2: Data Mining and Knowledge Discovery (Prof. Dr. Filiz ERSÖZ)
Parallel Session 3: Machine Learning and Artificial Intelligence (Prof. Dr. Emel KIZILKAYA AYDOĞAN)
15:30-15:45 Coffee Break
13:30-18:00 Parallel Session 4: Industrial Engineering and Application (Prof. Dr. Ahmet ÖZTÜRK)
Parallel Session 5: Data Science (Prof.Dr. Süleyman DÜNDAR)
Parallel Session 6: Predictive Analytics (Prof. Dr. Erkan IŞIĞIÇOK)
18:00-18:30 Closing Speech End of the first day
May 3, 2019 Friday Program
10:00-12:30 Poster & Video Session
12:30-13:30 Lunch
14:00-17:30 Social Networking

IDSES’19 Main Topics

  • 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 and Application
  • Data Science Applications (Statics, Econometrics, Mathematics, Environment, Physics, Chemistry, Forest etc.)