Browsing by Author "Danış, Dilek Günneç"
Now showing items 1-14 of 14
-
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 ... -
A coordinated repair routing problem for post-disaster recovery of interdependent infrastructure networks
Atsız, Eren; Koyuncu, Burcu Balçık; Danış, Dilek Günneç; Sevindik, Busra Uydasoglu (Springer, 2021-01)Disasters may cause significant damages and long-lasting failures in lifeline infrastructure networks (such as gas, power and water), which must be recovered quickly to resume providing essential services to the affected ... -
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 ... -
Least-cost influence maximization on social networks
Danış, Dilek Günneç; Raghavan, S.; Zhang, R. (Informs, 2020-03)Viral-marketing strategies are of significant interest in the online economy. Roughly, in these problems, one seeks to identify which individuals to strategically target in a social network so that a given proportion of ... -
N-hop influence maximization problem under deterministic linear threshold model
The Influence Maximization Problem (IMP) finds a set of highly influential nodes within a social network in order to maximize the spread of influence. We consider that people can have influence on their direct (1-hop), ... -
Polarity classification of twitter messages using audio processing
Duşçu, Mihail; Danış, Dilek Günneç (Elsevier, 2020-11)Polarity classification is one of the most fundamental problems in sentiment analysis. In this paper, we propose a novel method, Sound Cosine Similaritye Matching, for polarity classification of Twitter messages which ... -
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 ... -
Rolling look-ahead approaches for optimal classification trees
Classification trees have gained tremendous attention in machine learning applications due to their inherently interpretable nature. Current state-of-the-art formulations for learning optimal binary classification trees ... -
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 ... -
Two-level influence maximization problem under deterministic linear threshold model
Data-driven decision-making strategies can make online marketing more efficient and help companies reach a larger number of customers using limited resources. In this respect, the Influence Maximization Problem searches ...
Share this page
