Pinar Karagoz

Pinar KaragozPinar Karagoz received her PhD. degree from Middle East Technical University (METU), Computer Engineering Department, in 2003. She worked as a visiting researcher in State University of New York (SUNY) at Stony Brook. Her research interests include data mining, web usage mining, social network analysis, information extraction from the web, semantic web services, web service discovery and composition. Dr. Karagoz has authored several publications in international journals and leading conferences. Some of her papers were published in journals such as IEEE TKDE, IEEE Industrial Informatics, ACM TWEB, Information Systems Journal, SIGMOD Record, Knowledge and Information Systems and her research were presented and published in conferences including VLDB, CIKM, ASONAM, DAWAK, ICWS. In addition to nationally funded research projects, she took part in two international collaboration projects. Recently she served in the management commitee of the COST Action ENERGIC (European Network Exploring Research into Geospatial Information Crowdsourcing).

Publications

Deep Learning Techniques and Optimization Strategies in Big Data Analytics
J. Joshua Thomas, Pinar Karagoz, B. Bazeer Ahamed, Pandian Vasant. © 2020. 355 pages.
Many approaches have sprouted from artificial intelligence (AI) and produced major breakthroughs in the computer science and engineering industries. Deep learning is a method...
Large-Scale Renewable Energy Monitoring and Forecast Based on Intelligent Data Analysis
Mehmet Baris Ozkan, Dilek Küçük, Serkan Buhan, Turan Demirci, Pinar Karagoz. © 2020. 25 pages.
Intelligent data analysis techniques such as data mining or statistical/machine learning algorithms are applied to diverse domains, including energy informatics. These techniques...
Recent Trends in the Use of Graph Neural Network Models for Natural Language Processing
BURCU YILMAZ, Hilal Genc, Mustafa Agriman, Bugra Kaan Demirdover, Mert Erdemir, Gokhan Simsek, Pinar Karagoz. © 2020. 16 pages.
Graphs are powerful data structures that allow us to represent varying relationships within data. In the past, due to the difficulties related to the time complexities of...
Comparison of Integer Linear Programming and Dynamic Programming Approaches for ATM Cash Replenishment Optimization Problem
Fazilet Özer, Ismail Hakki Toroslu, Pinar Karagoz. © 2020. 13 pages.
With the automated teller machine (ATM) cash replenishment problem, banks aim to reduce the number of out-of-cash ATMs and duration of out-of-cash status. On the other hand, they...
Graph-Based Concept Discovery
Alev Mutlu, Pinar Karagoz, Yusuf Kavurucu. © 2019. 12 pages.
Multi-relational data mining (MRDM) is concerned with discovering hidden patterns from multiple tables in a relational database. One of the most commonly addressed tasks in MRDM...
Graph-Based Concept Discovery
Alev Mutlu, Pinar Karagoz, Yusuf Kavurucu. © 2018. 10 pages.
Multi-relational data mining (MRDM) is concerned with discovering hidden patterns from multiple tables in a relational database. One of the most commonly addressed tasks in MRDM...