DSpace@Çankaya

Yazar "Doğdu, Erdoğan" için listeleme

Yazar "Doğdu, Erdoğan" için listeleme

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  • A Deep Neural-Network Based Stock Trading System Based on Evolutionary Optimized Technical Analysis Parameters 
    Sezer, Ömer Berat; Özbayoğlu, Murat; Doğdu, Erdoğan (Elsevier Science BV, 2017)
    In this study, we propose a stock trading system based on optimized technical analysis parameters for creating buy-sell points using genetic algorithms. The model is developed utilizing Apache Spark big data platform. The ...
  • A Discovery and Analysis Engine for Semantic Web 
    Yumuşak, Semih; Kamilaris, Andreas; Doğdu, Erdoğan; Kodaz, Halife; Uysal, Elif; Aras, Riza Emre (2018)
    The Semantic Web promotes common data formats and exchange protocols on the web towards better interoperability among systems and machines. Although Semantic Web technologies are being used to semantically annotate data ...
  • An Artificial Neural Network-Based Stock Trading System Using Technical Analysis And Big Data Framework 
    Sezer, Ömer Berat; Özbayoğlu, Ahmet Murat; Doğdu, Erdoğan (Association for Computing Machinery, 2017-04-13)
    In this paper, a neural network-based stock price prediction and trading system using technical analysis indicators is presented. The model developed first converts the financial time series data into a series of buy-sell-hold ...
  • Classification of Linked Data Sources Using Semantic Scoring 
    Yumuşak, Semih; Doğdu, Erdoğan; Kodaz, Halife (Ieice-Inst Electronics Information Communications Eng, 2018-01)
    Cultural heritage sites, apart from being the tangible link to a country's history and culture, actively contribute to the national economy, offering a foundation upon which cultural tourism can develop. This importance ...
  • Context-Aware Computing, Learning, and Big Data in Internet of Things: A Survey 
    Sezer, Ömer Berat; Doğdu, Erdoğan; Özbayoğlu, Ahmet Murat (Institute of Electrical and Electronics Engineers Inc., 2018-02)
    Internet of Things (IoT) has been growing rapidly due to recent advancements in communications and sensor technologies. Meanwhile, with this revolutionary transformation, researchers, implementers, deployers, and users are ...
  • Improvement of General Inquirer Features with Quantity Analysis 
    Karadeniz, Talha; Doğdu, Erdoğan (IEEE, 2018)
    General Inquirer is a word-affect association vocabulary having 11896 entries. Ranging from rectitude to expressiveness, it comes with a flavor of categories. Despite the extensive content, a mapping from "To be or not to ...
  • Intrusion Detection Using Big Data and Deep Learning Techniques 
    Faker, Osama; Doğdu, Erdoğan (Assoc Computing Machinery, 2019)
    In this paper, Big Data and Deep Learning Techniques are integrated to improve the performance of intrusion detection systems. Three classifiers are used to classify network traffic datasets, and these are Deep Feed-Forward ...
  • Link Prediction in Knowledge Graphs with Numeric Triples Using Clustering 
    Bayrak, Betül; Choupani, Roya; Doğdu, Erdoğan (2020)
    Knowledge graphs (KG) include large amounts of structured data in many different domains. Knowledge or information is captured by entities and relationships between them in KG. One of the open problems in knowledge graphs ...
  • Malware classification using deep learning methods 
    Çakır, Buğra; Doğdu, Erdoğan (2018)
    Malware, short for Malicious Software, is growing continuously in numbers and sophistication as our digital world continuous to grow. It is a very serious problem and many efforts are devoted to malware detection in today’s ...
  • MIS-IoT: Modular Intelligent Server Based Internet of Things Framework with Big Data and Machine Learning 
    Önal, Aras Can; Sezer, Ömer Berat; Özbayoğlu, Murat; Doğdu, Erdoğan (IEEE, 2018)
    Internet of Things world is getting bigger everyday with new developments in all fronts. The new IoT world requires better handling of big data and better usage with more intelligence integrated in all phases. Here we ...
  • Perceptions, Expectations and Implementations of Big Data in Public Sector 
    Doğdu, Erdoğan; Özbayoğlu, Murat; Yazıcı, Ali; Karakaya, Ziya (IEEE, 2018)
    Big Data is one of the most commonly encountered buzzwords among IT professionals nowadays. Technological advancements in data acquisition, storage, telecommunications, embedded systems and sensor technologies resulted in ...
  • Perceptions, Expectations and Implementations of Big Data in Public Sector 
    Doğdu, Erdoğan; Özbayoğlu, Murat; Yazıcı, Ali; Karakaya, Ziya (2018)
    Big Data is one of the most commonly encountered buzzwords among IT professionals nowadays. Technological advancements in data acquisition, storage, telecommunications, embedded systems and sensor technologies resulted ...
  • Phishing e-mail detection by using deep learning algorithms 
    Hassanpour, Reza; Doğdu, Erdoğan; Choupani, Roya; Göker, Onur (2018)
    Phishing e-mails are considered as spam e-mails, which aim to collect sensitive personal information about the users via network. Since the main purpose of this behavior is mostly to harm users financially, it is vital ...
  • Sentiment Analysis for the Social Media: A Case Study for Turkish General Elections 
    Uysal, Elif; Yumuşak, Semih; Öztoprak, Kasım; Doğdu, Erdoğan (2017)
    The ideas expressed in social media are not always compliant with natural language rules, and the mood and emotion indicators are mostly highlighted by emoticons and emotion specific keywords. There are language independent ...
  • SpEnD portal: linked data discovery using SPARQL endpoints 
    Yumuşak, Semih; Aras, Rıza Emre; Uysal, Elif; Doğdu, Erdoğan; Kodaz, Halife; Öztoprak, Kasım (IEEE, 2017)
    We present the project SpEnD, a complete SPARQL endpoint discovery and analysis portal. In a previous study, the SPARQL endpoint discovery and analysis steps of the SpEnD system were explained in detail. In the SpEnD portal, ...
  • The impact of incapacitation of multiple critical sensor nodes on wireless sensor network lifetime 
    Yıldız, Hüseyin Uğur; Tavlı, Bülent; Kahjogh, Behnam Ojaghi; Doğdu, Erdoğan (IEEE-INST Electrical Electronics Engineers INC, 2017-06)
    Wireless sensor networks (WSNs) are envisioned to be utilized in many application areas, such as critical infrastructure monitoring, and therefore, WSN nodes are potential targets for adversaries. Network lifetime is one ...
  • Topic distribution constant diameter overlay design algorithm (TD-CD-ODA) 
    Öztoprak, Kasım; Layazali, Sina; Doğdu, Erdoğan (IEEE, 2017)
    Publish/subscribe communication systems, where nodes subscribe to many different topics of interest, are becoming increasingly more common in application domains such as social networks, Internet of Things, etc. Designing ...
  • Topic Distribution Constant Diameter Overlay Design Algorithm (TD-CD-ODA) 
    Öztoprak, Kasım; Layazali, Sina; Doğdu, Erdoğan (2017)
    Publish/subscribe communication systems, where nodes subscribe to many different topics of interest, are becoming increasingly more common in application domains such as social networks, Internet of Things, etc. Designing ...
  • Weather data analysis and sensor fault detection using an extended ıot framework with semantics, big data, and machine learning 
    Önal, Aras Can Sezer, Ömer Berat; Doğdu, Erdoğan; Özbayoğlu, Murat; Önal, Aras Can (IEEE, 2017)
    In recent years, big data and Internet of Things (IoT) implementations started getting more attention. Researchers focused on developing big data analytics solutions using machine learning models. Machine learning is a ...