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The Data-driven Organization Using Data for the Success of Your Company
Data has become an indispensable success factor for every company. However, the road towards a data-driven organization is paved with numerous... -
Data-driven discovery of linear dynamical systems from noisy data
In modern science and engineering disciplines, data-driven discovery methods play a fundamental role in system modeling, as data serve as the...
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Cultivating Data Practices Across Boundaries: How Organizations Become Data-driven
In this paper, we analyze the efforts of a public healthcare business intelligence unit to implement and disseminate their data products and thus...
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Data-Driven Innovation for Intelligent Technology Perspectives and Applications in ICT
This book focuses on new perspectives and applications of data-driven innovation technologies, applied artificial intelligence, applied machine...
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A New Data-Driven Model to Predict Monthly Runoff at Watershed Scale: Insights from Deep Learning Method Applied in Data-Driven Model
Accurate forecasting of mid to long-term runoff is essential for water resources management. However, the traditional model cannot predict well and...
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Reduction of data amount in data-driven design of linear quadratic regulators
This paper discusses the data-driven design of linear quadratic regulators, i.e., to obtain the regulators directly from experimental data without...
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Data-Driven Customer Engagement Mastering MarTech Strategies for Success
Embark on a journey through the rapidly evolving landscape of Marketing Technology (MarTech) with this comprehensive guide. From understanding the...
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Data or Business First?—Manufacturers’ Transformation Toward Data-driven Business Models
Driven by digital technologies, manufacturers aim to tap into data-driven business models, in which value is generated from data as a complement to...
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Analysis on open data as a foundation for data-driven research
Open Data, one of the key elements of Open Science, serves as a foundation for “data-driven research” and has been promoted in many countries....
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Interpretable data-driven fault diagnosis method for data centers with composite air conditioning system
Fault detection and diagnosis are essential to the air conditioning system of the data center for elevating reliability and reducing energy...
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Data-driven information for action
Because of the increase in data and the possibilities created by machine learning, organizations are now looking to become more data-driven. In...
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Data-driven grading of acute graft-versus-host disease
Despite advances in allogeneic hematopoietic cell transplantation, acute graft-versus-host disease (aGVHD) remains its leading complication, yet with...
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Divergent data-driven estimates of global soil respiration
The release of carbon dioxide from the soil to the atmosphere, known as soil respiration, is the second largest terrestrial carbon flux after...
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scLENS: data-driven signal detection for unbiased scRNA-seq data analysis
High dimensionality and noise have limited the new biological insights that can be discovered in scRNA-seq data. While dimensionality reduction tools...
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Knowledge Management and Data Analysis Techniques for Data-Driven Financial Companies
In today’s fast-paced financial industry, knowledge management and data-driven decision making have become essential for the success of financial...
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Incorporating physics into data-driven computer vision
Many computer vision techniques infer properties of our physical world from images. Although images are formed through the physics of light and...
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Paleontology Knowledge Graph for Data-Driven Discovery
A knowledge graph (KG) is a knowledge base that integrates and represents data based on a graph-structured data model or topology. Geoscientists have...
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Big Data Analytics Adoption in Manufacturing Companies: The Contingent Role of Data-Driven Culture
The objective of this paper is to investigate the factors that influence the adoption of Big Data Analytics (BDA) in manufacturing companies and...
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The Difficult Path to Become Data-Driven
Enterprises nowadays are generating massive amounts of data at an alarming rate. Mastering data pipelines, analytics, and sharing of data insights is...
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Data-driven virtual power plant aggregation method
Virtual power plant needs to use advanced coordinated control technology to aggregate a large amount of new energy to reliably meet the regulatory...