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Big Data in Organizations and the Role of Human Resource Management
Big data are changing the way we work. This book conveys a theoretical understanding of big data and the related interactions on a socio-technological level as well as on the organizational level. Big data challenge the human resource department to take a new role. An organization’s new competitive advantage is its employees augmented by big data.
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- 9783631719046
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- 237
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Big Data in Dental Research and Oral Healthcare
The digital transformation in dental medicine, based on electronic health data information, is recognized as one of the major game-changers of the 21st century to tackle present and upcoming challenges in dental and oral healthcare. This opinion letter focuses on the estimated top five trends and innovations of this new digital era, with potential to decisively influence the direction of de…
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- 9783036504568
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- 112
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Big Data in Context: Legal, Social and Technological Insights
Big data is closely linked to the new, old question of data quality. Whoever pursues a new research perspective such as big data and wants to zero out irrelevant data is confronted with questions of data quality. Therefore, the European General Data Protection Regulation (GDPR) requires data processors to meet data quality standards; in case of non-compliance, severe penalties can be impose…
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- 9783319624617
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Big Data Analytics and Information Science for Business and Biomedical Applic…
The availability of powerful non-invasive neuroimaging techniques has given rise to various studies that aim to map the human brain. These studies focus on not only finding brain activation signatures but also on understanding the overall organization of functional communication in the brain network. Based on the principle that distinct brain regions are functionally connected and continuou…
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- 9783036555508
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- 196
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Big Data Analytics and Information Science for Business and Biomedical Applic…
Machine learning models can automatically discover biomedical research trends and promote the dissemination of information and knowledge. Text feature representation is a critical and challenging task in natural language processing. Most methods of text feature representation are based on word representation. A good representation can capture semantic and structural information.
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- 9783036531939
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- 246
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Algorithmic aspects of resource allocation and multiwinner voting: theory and…
This thesis is concerned with investigating elements of computational social choice in the light of real-world applications. We contribute to a better understanding of the areas of fair allocation and multiwinner voting. For both areas, inspired by real-world scenarios, we propose several new notions and extensions of existing models. Then, we analyze the complexity of answering the computation…
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- 241 hlm; ill., lamp.,
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Biodiversity Databases Techniques, Politics, and Applications
With changes in technology and a renewed effort to catalog the world's biodiversity, huge amounts of data are being generated on biodiversity issues. As response to the call for better information systems to manage the biodiversity crisis, a wide range of solutions are being developed for inventorying, managing, and disseminating taxonomic data. This book brings together a diverse array of auth…
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- 9781439832547, 1439832544
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- 208
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"The Truth about the Desert"; Exile, Memory, and the Making of Communities am…
"Kebenaran tentang Gurun" mengeksplorasi kondisi kehidupan di mana pengungsi Tuareg dari Mali utara membangun kembali kehidupan mereka di diaspora Nigerien dan bagaimana kondisi ini mempengaruhi pemahaman diri dan praktik budaya mereka, hierarki status yang sudah ada, dan pembentukan identitas agama. Buku ini menyeimbangkan perhatian akademis sebelumnya terhadap bangsawan Tuareg dengan memfokus…
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- ISBN/ISSN
- 9783946198352
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- 1 online resource (210 p.)
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- 305.906914 DIA t
Advances in Neuroimaging Data Processing
Directed connectivity between brain sources identified from scalp electroencephalography (EEG) can shed light on the brain’s information flows and provide a biomarker of neurological disorders. However, as volume conductance results in scalp activity being a mix of activities originating from multiple sources, the correct interpretation of their connectivity is a formidable challenge despi…
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- 9783036569987
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- 186
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Advances in Intelligent Data Analysis XVIII
Missing data is a common occurrence in the time series domain, for instance due to faulty sensors, server downtime or patients not attending their scheduled appointments. One of the best methods to impute these missing values is Multiple Imputations by Chained Equations (MICE) which has the drawback that it can only model linear relationships among the variables in a multivariate time series
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- 588
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