Titlebook: Big Data and Networks Technologies; Yousef Farhaoui Conference proceedings 2020 Springer Nature Switzerland AG 2020 Big Data Analytics.Mob

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E-commerce Supporting Technologiesng environments and occupational health. It is well documented that poor indoor environmental quality has a significant impact on people’s health and productivity. This is particularly relevant because most people spend more than 90% of their time inside buildings. In many buildings, indoor environm

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E-commerce Architecture and System Design JSON instance document, valid with respect to a JSON schema, is updated giving rise to a new document no longer valid with respect to the schema, the update is usually rejected also resulting in user frustration. In such a case, the JSON schema has to be explicitly changed by an administrator in or

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Security Technologies in E-commercerithm, where traditional SMOTE algorithm has many problems. Therefore, this paper aiming to develop SMOTE algorithm to satisfy the law of prediction says “The values generated from any predictor is true if and only if the predictor building from real samples otherwise the prediction model can lead t

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Introduction to Earnings Management, the mechanical reliability or analysis of lubricating oils, but in a separate manner. In this section, the mechanical reliability is considered in combination with the lubricant quality, but the diagnosis process is always infected by uncertainties. Bayesian network (BN) model is developed and use

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Introduction to Earnings Managementable information from data. Indeed, Data mining covers the entire process of data analysis including machine learning which aims at constructing programs that learn automatically from experiences. The main purpose of this paper is to make a comparative study of four well-known classification algorit

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https://doi.org/10.1007/978-4-431-54058-8lt), and attracting significant attention from researchers and market participants. Many standard statistical and machine learning techniques are used in the literature to build credit scoring models from training sets consisting of people in their records who were given loans in the past..Online pe

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Components of the Earth System,lthough there exist some works applying machine learning to air quality prediction, most of the prior studies are restricted to several-year data and simply train standard regression models (linear or nonlinear) to predict the hourly air pollution concentration. The main purpose of this proposal is

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