Discovering behavioral patterns among air pollutants: A data mining approach
Air pollutants affect both human health and the environment. For this reason, environmental
managers and urban planners focus their efforts in monitoring air pollution. In this context …
managers and urban planners focus their efforts in monitoring air pollution. In this context …
[HTML][HTML] Descubriendo patrones de comportamiento entre contaminantes del aire: Un enfoque de minería de datos
La contaminación atmosférica afecta tanto a la salud humana como al medio ambiente. Por
esta razón, gestores ambientales y urbanos centran sus esfuerzos en el monitoreo de …
esta razón, gestores ambientales y urbanos centran sus esfuerzos en el monitoreo de …
Mining spatial dynamic co-location patterns
Spatial co-location pattern mining is an important part of spatial data mining, and its purpose
is to discover the coexistence spatial feature sets whose instances are frequently located …
is to discover the coexistence spatial feature sets whose instances are frequently located …
Discovering co-location patterns with aggregated spatial transactions and dependency rules
Co-location pattern mining focuses on finding associations among spatial features. Existing
co-location pattern mining techniques mainly rely on frequency based thresholds which …
co-location pattern mining techniques mainly rely on frequency based thresholds which …
[HTML][HTML] A collaborative research exploration of pollutant mixtures and adverse birth outcomes by using innovative spatial data mining methods: The domino project
Environmental health research is gaining interest due to the global concern of
environmental factors impacting health. This research is often multifaceted and becomes …
environmental factors impacting health. This research is often multifaceted and becomes …
Temporal Contrast Sets Mining
M Orabi, Z Al Aghbari - International Conference on Soft Computing and its …, 2023 - Springer
Discovering discriminating features' values that distinguish different data groups is vital for
understanding the unique characteristics that define each group. These distinct features can …
understanding the unique characteristics that define each group. These distinct features can …
AI Applied to Air Pollution and Environmental Health: A Case Study on Hypothesis Generation
Exposure to pollution in the environment is a major contributor to disease globally and is a
topic of great significance. There remains, however, a dearth of knowledge about the levels …
topic of great significance. There remains, however, a dearth of knowledge about the levels …
Better Together-The Essential Components of the Integrated Knowledge Translation Collaborative Process for an Interdisciplinary Collaborative Research Project in …
O Wine - 2020 - era.library.ualberta.ca
Academia has transformed research to be more collaborative to address complex questions
such as understanding the relationship between human health and the environment. Such …
such as understanding the relationship between human health and the environment. Such …
Ranking Association Rules from Data Mining for Health Outcomes: A Case Study of Effect of Industrial Airborne Pollutant Mixtures on Birth Outcomes
Association rule mining can be a powerful computational tool for exploring complex
interactions between high-dimensional exposures and health outcomes. Given the high …
interactions between high-dimensional exposures and health outcomes. Given the high …
[PDF][PDF] Discovering Behavioral Patterns Among Air Pollutants: A Data Mining Approach
Air pollutants affect both human health and the environment. For this reason, environmental
managers and urban planners focus their efforts in monitoring air pollution. In this context …
managers and urban planners focus their efforts in monitoring air pollution. In this context …