The fact that data collection is easier and cheaper with the development of technology has been an important motivation for data mining. Data mining aims to transform large amounts of collected raw data into valuable information. In this respect, it is directly related to the popular topic of recent times, "Big Data". The techniques developed within the scope of data mining can basically be summarized as finding relational or sequential rules, classification, and clustering. Methods should be changed and adapted or new methods should be developed according to the characteristics of the data examined; text mining and mining on social media are examples of these methods.
Funded Projects
- 2022-2025 TÜBİTAK 2247-D: "Developing systems for coordination and automated behaviour detection on online social networks", Onur Varol
- 2022-2025 - EuropAid: "Utilizing digital technology for social cohesion, positive messaging and peace by boosting collaboration, exchange and solidarity", B. Yanıkoğlu, R. Yeniterzi, A. Terzioğlu
Faculty Members
FENS Faculty Member
Research Areas
Active database systems; data mining; data mining security; data warehouses; mobile data management.
FENS Faculty Member
Research Areas
Research Interests • Decision Making Under Uncertainty • Heuristic Search and Optimization Techniques • Data Mining • Decision Support Systems • Bioinformatics • Innovation Management