Browsing OzU Theses & Dissertations by Author "Duman, Ekrem"
Now showing items 1-6 of 6
-
Deep reinforcement learning approach for trading automation in the stock market
Deep Reinforcement Learning (DRL) algorithms can scale to previously intractable problems. The automation of profit generation in the stock market is possible using DRL, by combining the financial assets price "prediction" ... -
Design and implementation of a data stream management system with advanced complex event processing capabilities
Ölmezoğulları, Erdi (2013-06)The world has seen proliferation of data stream applications over the last years. These applications include computer network monitoring, Radio Frequency Identication (RFID)-based supply chain and traffic management systems, ... -
Profit-driven non-linear classification with applications to credit card fraud detection, churn prediction, direct marketing, and credit scoring
Zakaryazad, Ashkan (2015-11)The rapid growth in data capture and computational power has led to an increasing focus on data-driven research. So far, most of the research is focused on predictive modeling using statistical optimization where it is ... -
Profit-oriented classification : new approaches and business applications
Mahmoudi, Nader (2015-11)Classification problems are the most common prediction problems that have traditionally been tackled by the data mining (DM) algorithms. The objective taken in these algorithms is a statistical one aimed to minimize the ... -
Project management methodologies for new product development
Kıranç, Mert (2018-05)This thesis intends to create an integrated project management methodology for the ones who focus on new product development projects. In order to build an integrated methodology, four different management systems are ... -
Real-time event correlation and alarm rule mining models for complex event processing systems
Çelebi, Ömer Faruk (2013-08)World is creating the same quantity of data every two days, as it created from up until 2003. Evolving data streams are key factor for the growth of data created over the last few years. Streaming data analysis in real-time ...
Share this page