Browsing by Author "Danış, Dilek Günneç"
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A branch‐and‐cut approach for the least cost influence problem on social networks
Danış, Dilek Günneç; Raghavan, S.; Zhang, R. (Wiley, 2020-07)This paper studies a problem in the online targeted marketing setting called the least cost influence problem (LCIP) that is known to be NP-hard. The goal is to find the minimum total amount of inducements (individuals to ... -
Etki enbüyükleme problemi için ajan-bazlı modelleme yaklaşımı
Danış, Dilek Günneç (Afyon Kocatepe Üniversitesi, 2018)Pazara yeni girecek bir ürünün öncelikliolarak kullanımına sunulacağı kişilerin (hedef kümenin) belirlenmesi pazar payı tahmini yapmak için önemli, ancak çözülmesi zor bir problemdir. Bu makalede, bu problem için ajan-bazlı ... -
Fair-fixture: minimizing carry-over effects in football leagues
Danış, Dilek Günneç; Demir, E. (American Institute of Mathematical Sciences, 2019-10)We study a sports scheduling problem with the objective of minimizing carry-over effects in round robin tournaments. In the first part, focusing on tournaments that allow minimum number of breaks (at most one) for each ... -
Influence maximization in social networks under Deterministic Linear Threshold Model
Gürsoy, F.; Danış, Dilek Günneç (Elsevier, 2018-12)We define the new Targeted and Budgeted Influence Maximization under Deterministic Linear Threshold Model problem and develop the novel and scalable TArgeted and BUdgeted Potential Greedy (TABU-PG) algorithm which allows ... -
Integrating social network effects in the share-of-choice problem
Danış, Dilek Günneç; Raghavan, S. (Wiley, 2017-12)Accounting for social network effects in marketing strategies has become an important issue. Taking a step back, we seek to incorporate and analyze social network effects on new product development and then propose a model ... -
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 ... -
Reassessment and monitoring of loan applications with machine learning
Boz, Z.; Danış, Dilek Günneç; Birbil, S. I.; Öztürk, M. K. (Taylor & Francis, 2018-11-26)Credit scoring and monitoring are the two important dimensions of the decision-making process for the loan institutions. In the first part of this study, we investigate the role of machine learning for applicant reassessment ... -
Sentiment analysis on social networks using machine learning and audio processing
Duşçu, Mihail (2019-08-20)Polarity classification is one of the most fundamental problems in sentiment analysis. Our study strives to develop a new definition, extraction technique and utilization of features based on the audio data for polarity ...
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