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Big data driven smart energy management: From big data to big insights
Large amounts of data are increasingly accumulated in the energy sector with the continuous application of sensors, wireless transmission, network communication, and cloud computing technologies. ToExpand
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An improved boosting based on feature selection for corporate bankruptcy prediction
TLDR
In this paper, a new and improved Boosting, FS-Boosting, is proposed to predict corporate bankruptcy. Expand
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Non-identical parallel-machine scheduling research with minimizing total weighted completion times: Models, relaxations and algorithms ☆
We consider a class of non-identical parallel-machine scheduling problems in which the goal is to minimize total (or mean) weighted (or unweighted) completion time. Models and relaxations areExpand
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A case study of industrial symbiosis: Nanning Sugar Co., Ltd. in China
Abstract Industrial symbiosis activities are being implemented in the philosophy of “circular economy” in China. Integrating industrial symbiosis into the corporate development plans to optimizeExpand
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The group consensus based evidential reasoning approach for multiple attributive group decision analysis
TLDR
We extend the evidential reasoning (ER) approach to group consensus (GC) situations for multiple attribute decision analysis problems. Expand
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A Heuristic Serial Schedule Algorithm for Unrelated Parallel Machine Scheduling With Precedence Constraints
TLDR
The paper presents a priority rule-based heuristic serial schedule (SS) algorithm for a deterministic scheduling problem where multiple jobs with arbitrary precedence constraints are processed on multiple unrelated parallel machines. Expand
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On the inference and approximation properties of belief rule based systems
TLDR
We provide analytical and theoretical analyses on the inference and approximation properties of BRB systems, under which the input space is partitioned into different local regions. Expand
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Combining QoS prediction and customer satisfaction estimation to solve cloud service trustworthiness evaluation problems
TLDR
This paper designs a novel framework named CSTrust for conducting cloud service trustworthiness evaluation by combining QoS prediction and customer satisfaction estimation. Expand
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A group evidential reasoning approach based on expert reliability
TLDR
We propose a new method based on the evidential reasoning rule to explicitly measure the reliability of each expert in a group and use expert weights and reliabilities to combine expert assessments. Expand
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Understanding household energy consumption behavior: The contribution of energy big data analytics
Understanding and changing household energy consumption behavior are considered as effective ways to improve energy efficiency and promote energy conservation. With the increasing penetration ofExpand
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