標(biāo)題: Titlebook: Apply Data Science; Introduction, Applic Thomas Barton,Christian Müller Book 2023 The Editor(s) (if applicable) and The Author(s), under ex [打印本頁(yè)] 作者: 萌芽的心 時(shí)間: 2025-3-21 17:14
書(shū)目名稱Apply Data Science影響因子(影響力)
書(shū)目名稱Apply Data Science影響因子(影響力)學(xué)科排名
書(shū)目名稱Apply Data Science網(wǎng)絡(luò)公開(kāi)度
書(shū)目名稱Apply Data Science網(wǎng)絡(luò)公開(kāi)度學(xué)科排名
書(shū)目名稱Apply Data Science被引頻次
書(shū)目名稱Apply Data Science被引頻次學(xué)科排名
書(shū)目名稱Apply Data Science年度引用
書(shū)目名稱Apply Data Science年度引用學(xué)科排名
書(shū)目名稱Apply Data Science讀者反饋
書(shū)目名稱Apply Data Science讀者反饋學(xué)科排名
作者: Engaged 時(shí)間: 2025-3-21 23:10 作者: 蓋他為秘密 時(shí)間: 2025-3-22 03:59
Digital Ethics in Data-Driven Organizations and AI Ethics as Application Example of those technologies and provides principles for their responsible use. Data-driven organizations live from the value-creating data analysis for decision making. The ethically correct use of such technologies becomes a key factor thereby. This chapter introduces data-driven organizations, presents作者: 侵略 時(shí)間: 2025-3-22 04:40 作者: 取回 時(shí)間: 2025-3-22 09:14 作者: 針葉類的樹(shù) 時(shí)間: 2025-3-22 16:19 作者: inquisitive 時(shí)間: 2025-3-22 17:27 作者: arrhythmic 時(shí)間: 2025-3-22 21:35 作者: 延期 時(shí)間: 2025-3-23 05:21
Integration of Renewable Energies—AI-Based Prediction Methods for Electricity Generation from Photovnts to consumers. The energy transition with the phase-out of nuclear power plants by 2022 and the expansion of renewable energies on the distribution grid level confronts low-voltage grids with challenges such as unmonitored overloads or voltage range violations. In addition, the volatility of load作者: 臭名昭著 時(shí)間: 2025-3-23 06:31
Machine Learning for Energy Management Optimizationization of energy management in residential buildings. This should be demonstrated using the example of the analysis of an air conditioning unit with active and passive heat recovery. It turns out that the intelligent, forward-looking control of such a system can save costs and resources. In a proje作者: Badger 時(shí)間: 2025-3-23 11:42
Text Mining in Scientific Literature Evaluation: Extraction of Keywords for Describing Content scientific literature search. If a literature search is carried out as part of a scientific work, the found publications must be analyzed and their content evaluated. This can be a large number of publications, so that the analysis of the content can be extremely time-consuming. This article descri作者: Cervical-Spine 時(shí)間: 2025-3-23 14:56
Identification of Relevant Relationships in Data Using Machine Learningthe number of faults in the products must be kept as small as possible in order to avoid annoying customers and to minimize costs for maintenance and repair. Machine learning models such as subgroup discovery and association rules make it possible to find relationships between product configurations作者: 保守 時(shí)間: 2025-3-23 19:53 作者: ILEUM 時(shí)間: 2025-3-24 00:07 作者: 尖酸一點(diǎn) 時(shí)間: 2025-3-24 06:24
Correction to: Using the Data Science Process Model Version 1.1 (DASC-PM v1.1) for Executing Data S作者: Feedback 時(shí)間: 2025-3-24 07:58 作者: LINE 時(shí)間: 2025-3-24 14:01 作者: Prosaic 時(shí)間: 2025-3-24 17:00 作者: enfeeble 時(shí)間: 2025-3-24 22:50 作者: 大吃大喝 時(shí)間: 2025-3-25 00:51
Integration of Renewable Energies—AI-Based Prediction Methods for Electricity Generation from Photovther services. As services, we will showcase (a) AI-based prediction methods that predict the power generation of a photovoltaic system and (b) downstream services that use these predictions for other purposes. Downstream services could be, e.g., a power grid calculation to predict future grid condi作者: 嚴(yán)厲譴責(zé) 時(shí)間: 2025-3-25 03:39 作者: PLUMP 時(shí)間: 2025-3-25 10:49 作者: 表示向下 時(shí)間: 2025-3-25 15:44
Thomas Barton,Christian MüllerShows how data science can be used in practice.Provides an application-oriented introduction.Highlights the concrete operational benefit作者: 防水 時(shí)間: 2025-3-25 17:43 作者: Indebted 時(shí)間: 2025-3-25 20:27 作者: dearth 時(shí)間: 2025-3-26 04:11
https://doi.org/10.1007/978-3-658-38798-3Data Science Book; Digitisation; business applications; Big Data; Project management; CRM; Customer Relati作者: Biofeedback 時(shí)間: 2025-3-26 07:39
978-3-658-38797-6The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Fachmedien Wies作者: 一條卷發(fā) 時(shí)間: 2025-3-26 10:24
2.9 Compounds of arsenic and antimony,ssion of the terms data science and data scientist, the article presents the contributions that appear in the thematic areas. The starting point is an introduction to the field of data science. This is followed by various articles on systems, tools and methods. One focus of this book is the presenta作者: Harness 時(shí)間: 2025-3-26 16:09 作者: 自然環(huán)境 時(shí)間: 2025-3-26 18:37
2.9 Compounds of arsenic and antimony, of those technologies and provides principles for their responsible use. Data-driven organizations live from the value-creating data analysis for decision making. The ethically correct use of such technologies becomes a key factor thereby. This chapter introduces data-driven organizations, presents作者: archaeology 時(shí)間: 2025-3-26 21:52
2.9 Compounds of arsenic and antimony,rowing customer demands. The quest for increased competitiveness and efficiency is expressed above all in the implementation of (innovative) technological solutions and the increasingly automated and data-driven decision-making processes. The presented tool, the TOCI model (Technological and Organiz作者: 死貓他燒焦 時(shí)間: 2025-3-27 02:25
2.6 Compounds of selenium and tellurium,reason for failure only in the novelty and complexity of these projects is too short-sighted. A survey of 85 knowledge workers from companies of different sizes shows, in addition to problems for which established solutions already exist, also special challenges of the discipline of Data Science. Th作者: Blazon 時(shí)間: 2025-3-27 05:30 作者: 不滿分子 時(shí)間: 2025-3-27 12:31 作者: 消毒 時(shí)間: 2025-3-27 15:25 作者: laxative 時(shí)間: 2025-3-27 18:38
2.6 Compounds of selenium and tellurium,nts to consumers. The energy transition with the phase-out of nuclear power plants by 2022 and the expansion of renewable energies on the distribution grid level confronts low-voltage grids with challenges such as unmonitored overloads or voltage range violations. In addition, the volatility of load作者: 迅速飛過(guò) 時(shí)間: 2025-3-27 22:54 作者: 熒光 時(shí)間: 2025-3-28 02:28
2.9 Compounds of arsenic and antimony, scientific literature search. If a literature search is carried out as part of a scientific work, the found publications must be analyzed and their content evaluated. This can be a large number of publications, so that the analysis of the content can be extremely time-consuming. This article descri作者: 易于交談 時(shí)間: 2025-3-28 09:45
2.9 Compounds of arsenic and antimony,the number of faults in the products must be kept as small as possible in order to avoid annoying customers and to minimize costs for maintenance and repair. Machine learning models such as subgroup discovery and association rules make it possible to find relationships between product configurations作者: Ablation 時(shí)間: 2025-3-28 13:34
2.9 Compounds of arsenic and antimony,ment in teaching and research. The framework serves as an environment for the development of functionality using vehicle models that have been created within the context of the Wildauer Machines Works digital learning factory. Furthermore, it is described how a digital company can be used in teachin作者: 泄露 時(shí)間: 2025-3-28 17:39
Book 2023tal transformation and presents a process framework for the evaluation of technologies. It also explains special features and findings on the failure of data science projects and presents recommendation systems in consideration of current developments. Machine learning functionality in business anal作者: 干旱 時(shí)間: 2025-3-28 20:27
2.9 Compounds of arsenic and antimony,was developed based on well-known models from the academic literature, such as the technology acceptance model, the agile process management method Scrum, the CRISP-DM process model and the Stage-Gate model. In addition, socio-technical system methods and insights from the theory of situational leadership are integrated.作者: 使成整體 時(shí)間: 2025-3-28 23:25 作者: 五行打油詩(shī) 時(shí)間: 2025-3-29 03:11 作者: gospel 時(shí)間: 2025-3-29 08:38 作者: 性別 時(shí)間: 2025-3-29 12:26
2.6 Compounds of selenium and tellurium,cified by competence and role profiles. This specification enables DASC-PM v1.1 to be used for various business situations, for example, to specifically select project members, identify key qualifications, and ensure sustainable project success.作者: 門(mén)窗的側(cè)柱 時(shí)間: 2025-3-29 16:12
2.9 Compounds of arsenic and antimony,th for development processes and for the area of project management as well as for the subsequent transfer of knowledge. After showing how the framework can be used in practice on the basis of the description of its use, an outlook is given on future activities.作者: 演繹 時(shí)間: 2025-3-29 21:58
Digital Ethics in Data-Driven Organizations and AI Ethics as Application ExampleDeutsche Telekom AG demonstrates how digital-ethical principles are developed and used concretely in an increasing data-driven use of intelligent systems in data-driven organizations. It shows how AI ethics can successfully be applied in everyday business life for creating a better way of dealing with these technologies.作者: 大氣層 時(shí)間: 2025-3-30 02:16 作者: maudtin 時(shí)間: 2025-3-30 07:11 作者: 收養(yǎng) 時(shí)間: 2025-3-30 10:18 作者: ANT 時(shí)間: 2025-3-30 14:27
Visualization and Deep Learning in Data Sciences images and image information, whether for facial recognition as a biometric feature, for personal assistants, or for the evaluation of camera images in driverless cars. The article shows what possibilities exist in each case and how algorithms, e.g. in deep learning, can train and improve themselves or each other.
