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Geospatial Data
This chapter addresses the visualization of geospatial data. With this term we refer to any kind of data that carry information about locations on...
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Data Validity
The National Bureau of Statistics of the People’s Republic of China is responsible for collecting, evaluating and publishing economic data. For...
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The Impacts of the COVID-19 Pandemic on an Educational Institution’s Administrative Process, a Process Mining Approach
The COVID-19 pandemic has affected virtually every human activity over the past 2 years. This paper examines how the COVID-19 pandemic interfered...
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A GMM approach in coupling internal data and external summary information with heterogeneous data populations
Because of advances in data collection and storage, statistical analysis in modern scientific research and practice now has opportunities to utilize...
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What Data?
Actuaries now collect all kinds of information about policyholders, which can not only be used to refine a premium calculation but also to carry out...
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Choosing a Data Model for the Digital Twin of Environment
AbstractA review and analysis of available data models presented. Based on the analysis of data models, it concluded that the most appropriate data...
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Potential data and basic mathematical modeling
Potential exploration methods aim at locating geothermal resources and water reservoirs, minerals, faults, and/or petroleum resources. Potential...
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New Data Sources and Inference Methods for Official Statistics
National statistical institutes are under increasing pressure to reduce administrative costs and response burden for the production of official...
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Observations or Experiments: Data in Insurance
An important challenge for actuaries is that they need to answer causal questions with observational data. After a brief discussion about correlation...
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Constructing a knowledge graph for open government data: the case of Nova Scotia disease datasets
The majority of available datasets in open government data are statistical. They are widely published by various governments to be used by the public...
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Defining health data elements under the HL7 development framework for metadata management
BackgroundHealth data from different specialties or domains generallly have diverse formats and meanings, which can cause semantic communication...
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Global long-term MIPAS data processing
The aim of this project is to perform a level 2 (L2) processing of the version 8 global infrared spectra data set (V8 L1b data) of the Earth’s...
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Geography as data
The U.S. Census Bureau was established to enumerate all of the residents of the country every ten years. Its geographic units, and the counts of...
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Examples of Big Data
BIG DATA comes in many flavors and dimensions. It may take the form of medical data on a patient where several characteristics are measured, or it...
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The Differentiated Effect of Administrative Policy in China’s Housing Market — Based on the Heterogeneous Households Multi-Agent Model
Since 2010, Chinese government has introduced a series of administrative policies to limit speculation in the housing market to stabilize price...
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Counting Data Analysis
Counting dataCounting data is often presented as counts or frequencies in the form of tables which in general though not always, have no particular...
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Scalable discrete algorithms for big data applications
In the past year, the project “Scalable Discrete Algorithms for Big Data Applications” dealt with High-Performance SAT Solving, Malleable Job...
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A Survey on Evolving Optimal Encryption Methods in Cloud Computing Data Forensics
Characteristics of cloud computing, such as adaptability and openness, call into question several long-held beliefs about data forensics and access...
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DCSO: towards an ontology for machine-actionable data management plans
The concept of Data Management Plan (DMP) has emerged as a fundamental tool to help researchers through the systematical management of data. The...
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Connecting Agent-Based Models with High-Dimensional Parameter Spaces to Multidimensional Data Using SMoRe ParS: A Surrogate Modeling Approach
Across a broad range of disciplines, agent-based models (ABMs) are increasingly utilized for replicating, predicting, and understanding complex...
