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- research-articleFebruary 2024
Serial and parallel kernelization of Multiple Hitting Set parameterized by the Dilworth number, implemented on the GPU
Journal of Computer and System Sciences (JCSS), Volume 139, Issue Chttps://doi.org/10.1016/j.jcss.2023.103479AbstractThe NP-hard Multiple Hitting Set problem is the problem of finding a minimum-cardinality set intersecting each of the sets in a given input collection a given number of times. Generalizing a well-known data reduction algorithm due to Weihe, we ...
- research-articleOctober 2023
Computational experiment-aided prescriptive decision-making for complex supply chains: A case of multi-generation smartphone marketing
Expert Systems with Applications: An International Journal (EXWA), Volume 228, Issue Chttps://doi.org/10.1016/j.eswa.2023.120451Highlights- This study proposes a computational experiment-aided prescriptive decision-making framework.
- The framework predicts multivariate emergences and exploits emergence diversity.
- The proposed framework enables optimal prescriptions with ...
A supply chain is a complex multivariate evolutionary system that challenges traditional decision-making paradigms and calls for new decision-making frameworks which can comprehensively support multivariate potential emergence prediction and ...
- research-articleMarch 2023
Service Availability Assessment Model Based on User Tolerance
Mobile Networks and Applications (MNET), Volume 28, Issue 5Pages 1581–1596https://doi.org/10.1007/s11036-023-02097-8AbstractThe inability to choose an excellent service recommended by a system simply because it is not available is common when people use service recommendation systems. Traditional research on recommendation systems has focused on the user profile, QoS(...
- review-articleNovember 2021
The impact of using biased performance metrics on software defect prediction research
Information and Software Technology (INST), Volume 139, Issue Chttps://doi.org/10.1016/j.infsof.2021.106664Abstract Context:Software engineering researchers have undertaken many experiments investigating the potential of software defect prediction algorithms. Unfortunately some widely used performance metrics are known to be problematic, ...
- research-articleSeptember 2020
Candidate diversity and granularity in IT portfolio construction
Information Technology and Management (KLU-ITEM), Volume 21, Issue 3Pages 157–168https://doi.org/10.1007/s10799-019-00312-1AbstractThe construction of a superior IT portfolio remains an open research question in prior literature. For addressing this gap, we investigate two unique characteristics of IT investment projects that may make it more or less likely to construct a ...
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- ArticleNovember 2019
The Prevalence of Errors in Machine Learning Experiments
- Martin Shepperd,
- Yuchen Guo,
- Ning Li,
- Mahir Arzoky,
- Andrea Capiluppi,
- Steve Counsell,
- Giuseppe Destefanis,
- Stephen Swift,
- Allan Tucker,
- Leila Yousefi
Intelligent Data Engineering and Automated Learning – IDEAL 2019Pages 102–109https://doi.org/10.1007/978-3-030-33607-3_12AbstractContext: Conducting experiments is central to research machine learning research to benchmark, evaluate and compare learning algorithms. Consequently it is important we conduct reliable, trustworthy experiments.
Objective: We investigate the ...
- research-articleFebruary 2019
Evaluating of dynamic service matching strategy for social manufacturing in cloud environment
Future Generation Computer Systems (FGCS), Volume 91, Issue CPages 311–326https://doi.org/10.1016/j.future.2018.08.028AbstractAs a new form of manufacturing industry in cloud environment, social manufacturing has its inherent “social–cyber” complexity: the source of enterprise services is social, and this sociality aggravates the diversity, uncertainty and ...
Highlights- It is difficult or even impossible to for traditional methods to evaluate the viability of these strategies in social manufacturing.
- ArticleJune 2018
Service Bridge: Trans-Boundary Influence Evaluation Method of Internet
AbstractThe Internet has penetrated into all aspects of human society and economic life, not only changing people’s daily life, but also having a profound impact on the business model of traditional industry. However, the trans-boundary impact of Internet ...
- articleDecember 2017
Computational Experiments Successfully Predict the Emergence of Autocorrelations in Ultra-High-Frequency Stock Returns
Computational Economics (KLU-CSEM), Volume 50, Issue 4Pages 579–594https://doi.org/10.1007/s10614-016-9612-1Social and economic systems are complex adaptive systems, in which heterogenous agents interact and evolve in a self-organized manner, and macroscopic laws emerge from microscopic properties. To understand the behaviors of complex systems, computational ...
- research-articleAugust 2017
A framework for data-driven computational experiments of inter-organizational collaborations in supply chain networks
Information Sciences: an International Journal (ISCI), Volume 399, Issue CPages 43–63https://doi.org/10.1016/j.ins.2017.03.008Internet+ecosystems, big data applications, customers specific demands, and internal and external values integration of enterprises pose new challenges to inter-organizational collaborations in supply chain networks. To confront these challenges, this ...
- research-articleJuly 2017
Exploring the optimal granularity for market segmentation in RTB advertising via computational experiment approach
Electronic Commerce Research and Applications (ECRA), Volume 24, Issue CPages 68–83https://doi.org/10.1016/j.elerap.2017.07.001Real Time Bidding (RTB) is a novel business model of online computational advertising, developing rapidly with the integration of Internet economy and big data analysis. It evolves the business logic of online ad-delivery from buying ad-impressions in ...
- research-articleDecember 2016
A computational experiment-based evaluation method for context-aware services in complicated environment
Information Sciences: an International Journal (ISCI), Volume 373, Issue CPages 269–286https://doi.org/10.1016/j.ins.2016.09.003One context-aware service system can be implemented by various customized service strategies, by which the performance achieved can be significantly different. In particular, incorrect or non-real time context-aware service would not work well and even ...
- research-articleNovember 2015
A simulated annealing-based permutation method and experimental analysis for multiple criteria decision analysis with interval type-2 fuzzy sets
Applied Soft Computing (APSC), Volume 36, Issue CPages 57–69https://doi.org/10.1016/j.asoc.2015.07.011Development of a simulated annealing-based permutation decision-making method.Multiple criteria decision analysis within the interval type-2 fuzzy environment.Algorithm for a polynomial time solution in the total completion time problem.Computational ...
- articleOctober 2015
Bisecting K-Means and 1D Projection Divisive Clustering: A Unified Framework and Experimental Comparison
Journal of Classification (JCLASS), Volume 32, Issue 3Pages 414–442https://doi.org/10.1007/s00357-015-9186-yThe paper presents a least squares framework for divisive clustering. Two popular divisive clustering methods, Bisecting K-Means and Principal Direction Division, appear to be versions of the same least squares approach. The PDD recently has been ...
- research-articleJuly 2015
Managing Emergency Traffic Evacuation With a Partially Random Destination Allocation Strategy: A Computational-Experiment-Based Optimization Approach
IEEE Transactions on Intelligent Transportation Systems (TITS), Volume 16, Issue 4Pages 2182–2191https://doi.org/10.1109/TITS.2015.2399852Natural or man-made disasters can cause huge losses of human life and property. One of the effective and widely used response and mitigation strategies for these disasters is traffic evacuation. Evacuation destination choice is critical in evacuation ...
- articleJune 2015
Minimizing the expected makespan of a project with stochastic activity durations under resource constraints
Journal of Scheduling (KLU-JOSH), Volume 18, Issue 3Pages 263–273https://doi.org/10.1007/s10951-015-0421-5The resource-constrained project scheduling problem (RCPSP) has been widely studied. A fundamental assumption of the basic type of RCPSP is that activity durations are deterministic (i.e., they are known in advance). In reality, however, this is almost ...
- research-articleNovember 2014
Interval-valued fuzzy multiple criteria decision-making methods based on dual optimistic/pessimistic estimations in averaging operations
Applied Soft Computing (APSC), Volume 24, Issue CPages 923–947https://doi.org/10.1016/j.asoc.2014.08.050Decision-making methods with optimistic/pessimistic averaging operations.Multiple criteria decision analysis within an interval-valued fuzzy environment.Algorithms involve changes in overall judgments and in the separate evaluations.The feasibility is ...
- articleJuly 2014
An agent-based distributed computational experiment framework for virtual supply chain network development
Expert Systems with Applications: An International Journal (EXWA), Volume 41, Issue 9Pages 4094–4112https://doi.org/10.1016/j.eswa.2014.01.001This paper focuses on research on virtual supply chain networks instead of real supply chain networks by making use of agent technology and computational experiment method. However, the recent research is inefficient in computational experiment modeling ...
- articleMay 2014
The effects of a trust mechanism on a dynamic supply chain network
Expert Systems with Applications: An International Journal (EXWA), Volume 41, Issue 6Pages 3060–3068https://doi.org/10.1016/j.eswa.2013.10.037Recognizing trust as the basis for firm cooperation, we investigate how a trust mechanism affects a supply chain network using a dynamic multi-agent and multi-stage model that incorporates three supplier selection rules: a preferred price rule, a ...
- research-articleMarch 2014
The impact of the computational inquiry based experiment on metacognitive experiences, modelling indicators and learning performance
Computational experiment approach considers modelling as the essential feature of Inquiry Based Science Education (IBSE), where the model and the computer take the place of the "classical" experimental set-up and simulation replaces the experiment (...