Results 21 to 30 of about 8,190 (251)
Entropy, 2023 The Global Fear Index (GFI) is a measure of fear/panic based on the number of people infected and deaths due to COVID-19. This paper aims to examine the interconnection or interdependencies between the GFI and a set of global indexes related to the ...
Pedro Celso-Arellano +4 more
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Causal Inference in Educational Data Mining
, 2022 The previous two years, we hosted causal inference workshops at the EDM international conferences with great success. Over 30 people attended each of the workshops, and both workshops featured stimulating talks on recently completed projects, works in progress, and open questions.
Adam Sales, Neil T. Heffernan
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causalizeR: a text mining algorithm to identify causal relationships in scientific literature
PeerJ, 2021 Complex interactions among multiple abiotic and biotic drivers result in rapid changes in ecosystems worldwide. Predicting how specific interactions can cause ripple effects potentially resulting in abrupt shifts in ecosystems is of high relevance to policymakers, but difficult to quantify using data from singular cases. We present
Ancin Murguzur, Francisco Javier +1 more
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Identifying Causal Structures from Cyberstalking: Behaviors Severity and Association
Journal of Communications Software and Systems, 2022 This paper presents an etiological cyberstalking study, meaning the use of various technologies and internet in general to harass or to stalk someone. The novelty of the paper is the multivariate empirical approach of cyberstalking victimization that has
Shkurte Luma-Osmani +3 more
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ChroMo, an Application for Unsupervised Analysis of Chromosome Movements in Meiosis
Cells, 2021 Nuclear movements during meiotic prophase, driven by cytoskeleton forces, are a broadly conserved mechanism in opisthokonts and plants to promote pairing between homologous chromosomes.
Daniel León-Periñán +1 more
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BMC Medical Informatics and Decision Making, 2017 Background Recently, research on human disease network has succeeded and has become an aid in figuring out the relationship between various diseases. In most disease networks, however, the relationship between diseases has been simply represented as an ...
Dong-gi Lee, Hyunjung Shin
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Applying Dynamic Causal Mining in Retailing [PDF]
Polibits, 2008 Abstract — With the fast development of information technology, retailers are suffering from the excess of information. Too much information can be a problem. However, more information creates more opportunity. In retailing, information is the key issue to maximizing revenue. It is now hard to make timely or effective decisions and to the right content
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Impact of Social Media on the Stock Market: Evidence from Tweets
European Journal of Business Science and Technology, 2015 The paper deals with the impact of the economic agent sentiment on the return for Apple and Microsoft stocks. We employed text mining procedures to analyze Twitter messages with either negative or positive sentiment towards the chosen stock titles. Those
Vojtěch Fiala +2 more
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The damaging character of shallow 20th century earthquakes in the Hainaut coal area (Belgium) [PDF]
Solid Earth, 2022 The present study analyses the impact and damage of shallow seismic activity that occurred from the end of the 19th century until the late 20th century in the coal area of the Hainaut province in Belgium.
T. Camelbeeck +3 more
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Causality-based cost-effective action mining [PDF]
Intelligent Data Analysis, 2013 In many business contexts, the ultimate goal of knowledge discovery is not the knowledge itself, but putting it to use. Models or patterns found by data mining methods often require further post-processing to bring this about. For instance, in churn prediction, data mining may give a model that predicts which customers are likely to end their contract,
Shamsinejadbabaki, Pirooz +2 more
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