Decision support for real-time telemarketing operations through Bayesian network learning

Ahn, Jae‐Hyeon; Ezawa, Kazuo J.

doi:10.1016/s0167-9236(97)00009-2

Cited by 21 publications

(6 citation statements)

References 16 publications

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“…BNs, also known as Belief Networks, provide a consistent way of replicating the essential features of plausible reasoning and have been successfully applied in the fields of medicine (e.g. (Sakellaropoulos and Nikiforidis, 2000)), marketing (Ahn and Ezawa, 1997) and business management. BNs are known to be particularly useful in handling uncertainties in user modelling for different kinds of application domains.…”

Section: Framework For Personalized Adaptive Cybersecuritymentioning

confidence: 99%

Exploring user behavioral data for adaptive cybersecurity

Addae

Sun

Towey

et al. 2019

User Model User-Adap Inter

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This paper describes an exploratory investigation into the feasibility of predictive analytics of user behavioural data as a possible aid in developing effective user models for adaptive cybersecurity. Partial Least Squares Structural Equation Modelling (PLS-SEM) is applied to the domain of cybersecurity by collecting data on users' attitude towards digital security, and analysing how that influences their adoption and usage of technological security controls. Bayesian-network modeling is then applied to integrate the behavioural variables with simulated sensory data from the web browser and other empirical data gathered to support personalized adaptive cybersecurity decision-making. Results from the empirical study show that predictive analytics is feasible in the context of behavioural cybersecurity, and can aid in the generation of useful heuristics for the design and development of adaptive cybersecurity mechanisms. Predictive analytics can also aid in encoding digital security behavioural knowledge that can support the adaptation and/or automation of operations in the domain of cybersecurity. The experimental results demonstrate the effectiveness of the techniques applied to extract input data for the Bayesian-based models for personalized adaptive cybersecurity assistance.

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Section: Framework For Personalized Adaptive Cybersecuritymentioning

confidence: 99%

Exploring user behavioral data for adaptive cybersecurity

Addae

Sun

Towey

et al. 2019

User Model User-Adap Inter

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“…Bayesian network theory is well established, and the method has been applied with success in various domains of business and economics (Ahn and Ezawa 1997;Cinicioglu, Shenoy, and Kocabasoglu 2007;Fusco 2008;Jensen, Toftum, and Friss-Hansen 2009;Scuderi and Clifton 2005), medicine (Nicholson et al 2008), ecology and environmental issues (Dambacher et al 2007;Bromley et al 2005), and transportation (Cinicioglu, Onsel, and Ulengin 2012). A detailed analysis of the BN-model literature can be found in Korb and Nicholson (2011).…”

Section: The Bayesian Network Methodsmentioning

confidence: 99%

A Bayesian Network Analysis of Ethical Behavior

Ekici

2015

Journal of Macromarketing

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Using one of the major domains of macromarketing-ethics-this paper aims to introduce the Bayesian network (BN) method and demonstrate its added value for macro-level decision makers. Bayesian networks are particularly important for macromarketers because they allow researchers to analyze a domain from a system perspective. The BN approach is considered one of the most powerful tools for observing system changes. The method can also deal with multiple variables at once, which can lead to efficient scenario analyses, critical for understanding how a system functions. As such, BNs offer a powerful tool for macromarketers who deal with systems, interactions, and higher levels of aggregation. We believe that the adoption of this methodology by macromarketing researchers is likely to contribute to the discipline by advancing the understanding of how certain systemic/network relationships and various domains of macromarketing work.

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“…Conventional DSSs intend to solve specific types of problems, such as prediction of agricultural drought [24], or determining telemarketing operations [2], etc. Our framework enables managers to investigate new types of deviations as they turn up.…”

Section: Noveltymentioning

confidence: 99%