Ayşe Nur Birtürk

E-mail

birturk@metu.edu.tr

Department

Department of Computer Engineering

ORCID

0000-0002-5125-070X

Scopus Author ID

14041100500

Web of Science Researcher ID

ABA-4365-2020

Clustering River Basins Using Time-Series Data Mining on Hydroelectric Energy Generation. Arslan, Yusuf; Kucuk, Dilek; Eren, Sinan; Birtürk, Ayşe Nur (2018-09-14) Hydropower is a significant renewable energy type with a considerable share in energy generation worldwide. As with the other common means of energy generation, hydropower is critical for the reliability and quality of ele...
Short-Term Electricity Consumption Forecast using Datasets of Various Granularities ARSLAN, YUSUF; ŞİMŞEK DİLBAZ, AYBİKE; Ertekin Bolelli, Şeyda; Karagöz, Pınar; Birtürk, Ayşe Nur; Eren, Sinan; KÜÇÜK, DİLEK (2018-09-10) It is widely known that the generation and consumption of electricity should be balanced for secure operation and maintenance of the electricity grid. In order to help achieve this balance in the grid, the renewable energy...
Twitter Sentiment Analysis Experiments Using Word Embeddings on Datasets of Various Scales Arslan, Yusuf; Kucuk, Dilek; Birtürk, Ayşe Nur (2018-06-15) Sentiment analysis is a popular research topic in social media analysis and natural language processing. In this paper, we present the details and evaluation results of our Twitter sentiment analysis experiments which are ...
Real-Time Lexicon-Based Sentiment Analysis Experiments On Twitter With A Mild (More Information, Less Data) Arslan, Yusuf; Birtürk, Ayşe Nur; Djumabaev, Bekjan; Kucuk, Dilek (2017-12-14) Sentiment analysis of Twitter data is a well studied area, however, there is a need for exploring the effectiveness of real-time approaches on small data sets that only include popular and targeted tweets. In this paper, w...
BASIN CLUSTERING OF TURKEY BY USE OF MONTHLY STREAM-FLOW DATA ARSLAN, Yusuf; Birtürk, Ayşe Nur; EREN, Sinan (2015-12-11) Security of the energy supply is an important topic in energy field. It has two parts which are supply and demand. To ensure that demand is met, the supply at the specific time points has to be known or predicted. Supply i...
Improved Wind Power Forecasting Using Combination Methods KOKSOY, Ceyda Er; OZKAN, Mehmet Baris; BUHAN, Serkan; DEMIRCI, Turan; Arslan, Yusuf; Birtürk, Ayşe Nur; Karagöz, Pınar (2015-12-11) Integration of the wind power into the existing transmission grid is an important issue due to discontinuous and volatile behavior of wind. Moreover, the power plant owners need reliable information about day-ahead power p...
A Hybrid Movie Recommender Using Dynamic Fuzzy Clustering Gurcan, Fatih; Birtürk, Ayşe Nur (2015-09-24) We propose an online hybrid recommender strategy named content-boosted collaborative filtering with dynamic fuzzy clustering (CBCFdfc) based on content boosted collaborative filtering algorithm which aims to improve the pr...
Ontology-based Software Requirements Reuse: Case Study in Fire Control Software Product Line Domain KARATAS, Elif Kamer; IYIDIR, Baris; Birtürk, Ayşe Nur (2014-12-17) Reuse is a highly favored concept in software engineering community, but it is the essence of successful Software Product Line (SPL) development, which enables the reuse of different types of software artifacts. Focus of t...
Suggest me a movie: A multi-client movie recommendation application on facebook Cakiroglu, Seda; Birtürk, Ayşe Nur (2010-11-12) In this study, an online movie recommendation engine that serves on Facebook is developed in order to evaluate social circle effects on user preferences in a trust-based environment. Instead of using single-user profiles, ...
Natural Intelligence - Commonsense Question Answering with Conceptual Graphs Guler, Fatih Mehmet; Birtürk, Ayşe Nur (2010-07-30) Natural Intelligence (NI) is a question answering system based on Combinatory Categorial Grammar (CCG) as the theory of grammar and Conceptual Graphs (CG) for knowledge representation and reasoning. CCG is a lexicalized th...

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