Results 61 to 70 of about 2,067,646 (378)
Big Data and Predictive Analytics for Business Intelligence: A Bibliographic Study (2000–2021)
Forecasting, 2022 Big data technology and predictive analytics exhibit advanced potential for business intelligence (BI), especially for decision-making. This study aimed to explore current research studies, historic developing trends, and the future direction.
Yili Chen, Congdong Li, Han Wang
doaj +1 more source
The importance of the express delivery industry for the East Midlands economy [PDF]
, 2006 This report assesses the importance of the express delivery industry for the economy of the East Midlands. It complements a similar report looking at the economic importance of the express industry for the UK as a whole. As well as quantifying the direct
Oxford Economic Forecasting
core
A software service supporting software quality forecasting [PDF]
, 2019 Software repositories such as source control, defect tracking systems and project management tools, are used to support the progress of software projects.
Ayala Martínez, Claudia Patricia +3 more
core +1 more source
Sickle Cell Disease Is an Inherent Risk for Asthma in a Sibling Comparison Study
Pediatric Blood &Cancer, EarlyView.ABSTRACT Introduction Sickle cell disease (SCD) and asthma share a complex relationship. Although estimates vary, asthma prevalence in children with SCD is believed to be comparable to or higher than the general population. Determining whether SCD confers an increased risk for asthma remains challenging due to overlapping symptoms and the ...
Suhei C. Zuleta De Bernardis +9 more
wiley +1 more source
Forecasting, 2022 This paper provides new insights into the causal effects of the enlargement of the European Union (EU) on patent performance. The study focuses on the new EU member states (EU-13) and accession is considered as an intervention whose causal effect is ...
Agnieszka Kleszcz, Krzysztof Rusek
doaj +1 more source
Automatic Time Series Forecasting: The forecast Package for R
, 2008 Automatic forecasts of large numbers of univariate time series are often needed in business and other contexts. We describe two automatic forecasting algorithms that have been implemented in the forecast package for R.
Rob J Hyndman, Yeasmin Khandakar
semanticscholar +1 more source
Pediatric Blood &Cancer, EarlyView.ABSTRACT We sought to identify potential early risk biomarkers for lung disease in children post‐allogeneic HCT. Patients with pulmonary function tests 3 months post‐transplant and plasma samples between days 7 and 14 post‐HCT were included. Six of 27 subjects enrolled had reduced forced expiratory volume 1 (FEV1) z scores.
Isabella S. Small +3 more
wiley +1 more source
Precision and Reliability of Forecasts Performance Metrics
Forecasting, 2022 The selection of an accurate performance metric is highly important to evaluate the quality of a forecasting method. This evaluation may help to select between different forecasting tools of forecasting outputs, and then support many decisions within a ...
Philippe St-Aubin, Bruno Agard
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Psychosocial Outcomes in Patients With Endocrine Tumor Syndromes: A Systematic Review
Pediatric Blood &Cancer, EarlyView.ABSTRACT Introduction The combination of disease manifestations, the familial burden, and varying penetrance of endocrine tumor syndromes (ETSs) is unique. This review aimed to portray and summarize available data on psychosocial outcomes in patients with ETSs and explore gaps and opportunities for future research and care.
Daniël Zwerus +6 more
wiley +1 more source
Forecasting Bitcoin Spikes: A GARCH-SVM Approach
Forecasting, 2022 This study aims to forecast extreme fluctuations of Bitcoin returns. Bitcoin is the first decentralized and the largest, in terms of capitalization, cryptocurrency.
Theophilos Papadimitriou +2 more
doaj +1 more source