Results 11 to 20 of about 6,044 (253)
Strategic Decisions in Corporate Travel: Optimization Through Decision Trees
Global corporations frequently grapple with a dilemma between fulfilling business needs and adhering to travel policies to mitigate excessive fare expenditures.
Jose-Mario Zarate-Carbajal +2 more
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Seeing the Forests as well as the (Trillion) Trees in Corporate Climate Strategies [PDF]
Largely driven by the corporate sector, the recent surge of interest in trees as a solution to climate change has a distinct emphasis on planting trees. Realizing anticipated benefits will require managing the risks and trade-offs of land-use interventions and embracing the imperative of protecting existing forests.
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The article describes and analyses new regulatory and governance rules regarding corporate sustainability regulation in Brazil, including the new provisions by the capital markets, the financial authorities, and private frameworks. This is done through the theoretical lens of a critical approach to socio-ecological transformation, shedding light on the
Sheila C. Neder Cerezetti +1 more
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Buying Customer Classification in Automotive Corporation with Decision Tree
Generally, data mining is the process of analyzing data from different perspectives and summarizing it into useful information that can be used to increase revenue, cuts costs, or both. It allows users to analyze data from many different dimensions or angles, categorize it, and summarize the relationships identified.
Byoung-Yup Lee +2 more
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A hierarchical tree layout algorithm with an application to corporate management in a change process
This work presents a hierarchical tree layout algorithm based on iterative rearrangement of subtrees. Using a greedy heuristic, all subtrees of a common parent are rearranged into a forest such that gaps between them are minimized. This heuristic is used to build a rearranged tree from bottom-up, starting with forests of the single leafs, and ending ...
Hofer, Vera, Krempl, Georg
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Corporate distress prediction using random forest and tree net for india
The paper deals with the Random Forest, a popular classification machine learning algorithm to predict bankruptcy (distress) for Indian firms. Random Forest orders firms according to their propensity to default or their likelihood to become distressed. This is also useful to explain the association between the tendency of firm failure and its features.
Arvind Shrivastava +3 more
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Recursive Partitioning Method on Competing Risk Outcomes
In some cancer clinical studies, researchers have interests to explore the risk factors associated with competing risk outcomes such as recurrence-free survival.
Wei Xu, Jiahua Che, Qin Kong
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The first hypothesis of this study is to dissect the factors that impact consumers’ preference toward a specific corporate social responsibility (CSR) project via the framework of the theory of planned behaviour (TPB). The second hypothesis is to evaluate a monetary value for CSR among consumers through their WTP.
Chia-Hung Lee +3 more
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Identification and Ranking of Effective Factors on Stock Return Synchronicity Using Neural Networks and Decision Tree Model [PDF]
Objective: This research aim at identification of the factors affecting the stock price synchronicity and their ranking in a sample of 1030 years-companies from the Tehran Stock Exchange in the years 2006 to 2015.
Mohsen Lotfi (Ph.D) +2 more
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IntroductionArtificial intelligence (AI)-based software can be used with dental radiographs to facilitate dental providers’ diagnoses and to educate patients about their oral health conditions.
Lyubov D. Slashcheva +12 more
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