Search
Now showing items 1-8 of 8
Reassessment and monitoring of loan applications with machine learning
(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 ...
A branch‐and‐cut approach for the least cost influence problem on social networks
(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 ...
Influence maximization in social networks under Deterministic Linear Threshold Model
(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 ...
Least-cost influence maximization on social networks
(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 ...
Integrating social network effects in the share-of-choice problem
(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 ...
Etki enbüyükleme problemi için ajan-bazlı modelleme yaklaşımı
(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 ...
Polarity classification of twitter messages using audio processing
(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 ...
Fair-fixture: minimizing carry-over effects in football leagues
(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 ...
Share this page