Data mining and integration for predicting significant meteorological phenomena
This paper describes the planned contribution of the project Data Mining Meteo (DMM) to
the research of parametrized models and methods for detection and prediction of significant …
the research of parametrized models and methods for detection and prediction of significant …
Multi-agent distributed data mining approach for classifying meteorology data: case study on Iran's synoptic weather stations
A Niazalizadeh Moghadam, R Ravanmehr - International Journal of …, 2018 - Springer
Today's organizations, industries and research centers are geographically distributed in
different sites. To achieve true knowledge of business, mining massive amounts of data is …
different sites. To achieve true knowledge of business, mining massive amounts of data is …
Data mining for fog prediction and low clouds detection
Abstract his paper describes our contribution to the research of parametrized models and
methods for detection and prediction of significant meteorological phenomena, especially …
methods for detection and prediction of significant meteorological phenomena, especially …
Meteorological phenomena forecast using data mining prediction methods
The occurrence of various meteorological phenomena, such as fog or low cloud cover, has
significant impact on many human activities as air or ship transport operations. The …
significant impact on many human activities as air or ship transport operations. The …
Prediction of significant meteorological phenomena using advanced data Mining and integration methods
We present the design, goals, and current state of the project Data Mining Meteo 1 which is
aimed towards using new data integration and data mining techniques in prediction of …
aimed towards using new data integration and data mining techniques in prediction of …
On retrieving patterns in environmental sensor data
As many sensor networks are currently being deployed for environmental monitoring, there
is a growing need to develop systems and applications for managing, processing and …
is a growing need to develop systems and applications for managing, processing and …
Mining environmental data in hydrological scenarios
We present data mining methods which are used in a hydro-meteorological scenarios within
the FP7 project ADMIRE 1. The scenarios uses data mining techniques instead of more …
the FP7 project ADMIRE 1. The scenarios uses data mining techniques instead of more …
Using advanced data mining and integration in environmental prediction scenarios
We present one of the meteorological and hydrological experiments performed in the FP7
project ADMIRE. It serves as an experimental platform for hydrologists, and we have used it …
project ADMIRE. It serves as an experimental platform for hydrologists, and we have used it …
Environmental risk management
This chapter presents the motivation and challenges in applying state‐of‐the‐art knowledge
discovery technologies in the domain of environmental risk management. Environmental risk …
discovery technologies in the domain of environmental risk management. Environmental risk …
Experiments in applying advanced data mining and integration to hydro-meteorological scenarios
We present the results of applying advanced data integration and data mining (DMI)
technology, developed in the FP7 project ADMIRE, to a set of hydro-meteorological pilot …
technology, developed in the FP7 project ADMIRE, to a set of hydro-meteorological pilot …