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Modeling Information System Availability by using Bayesian Belief Network Approach
2016
Interdisciplinary Description of Complex Systems
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Software Quality Journal 20(2), 369-394, 2012) based on a thorough review of several dimensions of the information system availability, we proposed a modified set of determinants. ...
Examples of such entities include process industries, telecommunications, healthcare, energy, banking, electronic commerce and a variety of cloud services. ...
Wei et al. developed an integrated process, based on BBN, for efficient IT services management [51]. ...
doi:10.7906/indecs.14.2.2
fatcat:wypwkp6nqvhwfia6gxgjmz6wd4
Flood Resilience of Housing Infrastructure Modeling and Quantification Using a Bayesian Belief Network
2021
Sustainability
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Hence, it is necessary to build a resilience model for housing infrastructure based on a realistic dataset. ...
In this work, a Bayesian belief network (BBN) model was developed for housing infrastructure resilience. ...
Acknowledgments: The authors acknowledge the support of the District Disaster Management Authority (DDMA), Assam, India, for providing the information of flood-vulnerable places of Barak Valley in Northeast ...
doi:10.3390/su13031026
fatcat:wxwqhygm5faqjn7ud3ozuusyha
Reinventing GTE with information technology
1999
Computer
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In response to shifting business demands, evolving information technologies play a key role in first reengineering and then reinventing GTE. ...
GTE took a two-pronged approach in its response to this mandate. First, we developed a secure software solution that handles those CLEC requests that can be automated. ...
In response to these challenges, telecommunications companies must take a new approach to conducting business. ...
doi:10.1109/2.751329
fatcat:7t4zeevqr5cixlkadwluxbanmm
BN Applications in Operational Risk Analysis: Scope, Limitations and Methodological Requirements
[chapter]
2012
Bayesian Networks
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There are many uncertainties in development processes for products of processes like the uncertainties in estimating project completion time, the project needs for supply the quality of the output etc. ...
Trucco et al. (2008b) applied the proposed methodology to identify and analyse the effectiveness of different organizational and behaviour-based measures for improving occupational safety in a leading ...
Third, because the model has both causal and probabilistic semantics, it is an ideal representation for combining prior knowledge (which often comes in a causal form) and data. ...
doi:10.5772/38858
fatcat:nzrhnjkqnfhyvfvepmywemolfi
Facing Fault Management as It Is, Aiming for What You Would Like It to Be
[chapter]
2002
Lecture Notes in Computer Science
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and (ii) the induction of Bayesian Belief Networks (BBNs) for a complete 'intelligent' approach. ...
In this paper two key fault management approaches are considered: (i) rule discovery to attempt to present fewer symptoms with greater diagnostic assistance for the more traditional rule based system approach ...
The author is greatly indebted to the Industrial Research and Technology Unit (IRTU) (Start 187-The Jigsaw Programme, 1999-2002) for funding this work jointly with Nortel Networks. ...
doi:10.1007/3-540-46019-5_3
fatcat:3nizbbjohvh3ranie5ydswv4hy
A rationale-based architecture model for design traceability and reasoning
2007
Journal of Systems and Software
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Large systems often have a long life-span and their system and software architecture design comprise many intricately related elements. ...
Research into design rationale in the past has focused on argumentation-based design deliberations. Argumentation-based design rationale models provide an explicit representation of design rationale. ...
This feedback loop could improve the decision making process and identify areas where design estimations are inferior. ...
doi:10.1016/j.jss.2006.08.040
fatcat:4wpryjke6fdj7lts3opfwwhohm
Towards a Comprehensive Framework for Climate Change Multi-Risk Assessment in the Mining Industry
2019
Infrastructures
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The framework estimates the climate change risks in economic terms by modeling the main activities that a mining company performs, in a probabilistic model, using Bayes' theorem. ...
In this study, a comprehensive framework is proposed for climate change multi-risk assessment at the local level customized for the needs of the mining industry. ...
Finally, a future improvement of the model is the development of a web-based decision support system. ...
doi:10.3390/infrastructures4030038
fatcat:aitkgogsvrerhfia4myr4vs34q
Quantum Key Distribution
2020
ACM Computing Surveys
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software-defined QKD networking approach. ...
Mehic et al. application on a broader scale. ...
The discussion was strongly improved through their careful reading and constructive input. ...
doi:10.1145/3402192
fatcat:w53ugulq4ne3rcjuvmh7mg3rqi
Minority report in fraud detection
2004
SIGKDD Explorations
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Its originality lies in the use of a single meta-classifier (stacking) to choose the best base classifiers, and then combine these base classifiers' predictions (bagging) to improve cost savings (stacking-bagging ...
Results show that, given a fixed decision threshold and cost matrix, the partitioning and multiple algorithms approach achieves marginally higher cost savings than varying the entire training data set ...
Rasika Amarasiri for his technical help and anonymous reviewers for their suggestions which led to more insights. ...
doi:10.1145/1007730.1007738
fatcat:z5sphecnpnbptbsrhr3fyzpq5i
Data Mining Techniques in Fraud Detection
2008
Journal of Digital Forensics, Security and Law
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There exist a number of data mining algorithms and we present statistics-based algorithm, decision treebased algorithm and rule-based algorithm. ...
We illustrate how ROC curves can be deployed for model assessment in order to provide a more intuitive analysis of the models. ...
A single metaclassifier (Phua et al. 2004 ) is used to select the best base classifiers, and then combined with these base classifiers' predictions to improve cost savings (stackingbagging). ...
doi:10.15394/jdfsl.2008.1040
fatcat:uxlw5a6of5fszpuyca36bzopnm
Software Reliability Engineering: A Roadmap
2007
Future of Software Engineering (FOSE '07)
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Moreover, credible software reliability models are required to track underlying software failure processes for accurate reliability analysis and forecasting. ...
In order to estimate as well as to predict the reliability of software systems, failure data need to be properly measured by various means during software development and operational phases. ...
BBNs provide an attractive formalism for different software cases. ...
doi:10.1109/fose.2007.24
dblp:conf/icse/Lyu07
fatcat:oq45czyelfg6xn7su5uakybf2y
FrauDetector
2015
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining - KDD '15
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Due to limitation of information provided by telecommunication records, such classifier-based approaches for fraudulent phone call detection normally do not work well. ...
In this paper, we develop a graphmining-based fraudulent phone call detection framework for a mobile application to automatically annotate fraudulent phone numbers with a "fraud" tag, which is a crucial ...
Compared with the best of classifier-based fraud detection approaches, our proposed HITSbased approach achieve 26.4% improvement rate (i.e., (0.829 − 0.656)/ 0.656). ...
doi:10.1145/2783258.2788623
dblp:conf/kdd/TsengYHKC15
fatcat:djpxjkookradpbom3gapamggbi
MODELING OF THE PROSPECTS FOR SUSTAINABLE DEVELOPMENT OF AGRICULTURAL TERRITORIES BY THE BAYESIAN NETWORKS
2018
Management Theory and Studies for Rural Business and Infrastructure Development
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The results of the implementation of the Bayesian network with the help of Netica software for deciding on the sustainable development of village councils in the future based on the questionnaire data ...
The aim of the research is to provide a scientific basis for the need of using the modeling with the help of neural network technologies and to build a Bayesian belief network to make a decision on the ...
Zare, Zare and Fallahnezhad (2016) implemented a system for evaluating software development projects based on optimal Bayesian networks. ...
doi:10.15544/mts.2018.25
fatcat:cg75udi2ejfqlchib3qk4kvr6e
Porting industrial codes and developing sparse linear solvers on parallel computers
1995
Computing Systems in Engineering
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We discuss the use of numerical libraries as a way of developing portable memory, virtual shared memory, and distributed memory multiprocessors, and networks and when developing portable parallel software ...
software by considering the parallel solution of sparse linear systems of equations. ...
These directives, and for the telecommunication code using a vectorizable 1D FFT. ...
doi:10.1016/0956-0521(95)00033-x
fatcat:fwvkd3wkdvagrjdhra7latjcme
Application of Data Mining Techniques using Internet of Things
2021
Zenodo
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This paper explores a systematic review of various data mining models as well as its applications in the Internet of things along with its advantages and disadvantages. ...
The Bayesian Belief Network (BBN) and Artificial Neural Network (ANN) study used the STAGE algorithm for BBN in fraud detection and back propagation for ANN. ...
[7] During operation user net is adapted to a specific user based on emerging data. ...
doi:10.5281/zenodo.5044990
fatcat:owa4c6nstjeyhmswihrdmq3mw4
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