Abstract: In this work a proposal for making systematic state of the art is presented and applied to the Environmental Data Mining field. The main characteristics of the Data Mining process have been identified. A form has been created to check which of those characteristics take place in a real application and how. A random sample of Science Citation Index papers regarding Data Mining and Environmental Applications has been selected. Papers were read by a set of experts and a form was filled in for every paper. The resulting information was mined itself using basic statistical analysis and some specific treatments for multi-response variables, to get a first picture of what is currently being done in the applications of Data Mining methods...
One of the important issues related with all types of data analysis, either statistical data analysi...
The quality of discovered knowledge is highly depending on data quality. Unfortunately real data use...
Abstract: The joint workshop in Data Mining for Environmental Scientists and Intelligent Environment...
Data Mining (DM) is a fundamental component of the Data Science process. Over recent years a huge li...
Over recent years a huge library of data mining algorithms has been developed to tackle a variety of...
Environmental data mining is the nontrivial process of identifying valid, novel, and potentially use...
We live in a world where vast amounts of data are collected daily. Data warehouses and Data mining g...
National audienceThe preservation of biodiversity is a crucial challenge of our times. Computer Scie...
[EN] Data Mining (DM) is a fundamental component of the Data Science process. Over recent years a hu...
Environmental data are growing in complexity, size, and resolution. Addressing the types of large, m...
Encouraging the use of computer algorithms by developing new algorithms and introducing uncommonly k...
Data science is the science of extracting meaning from potentially complex data. This is a fast movi...
Our planet’s population is increasing at a rapid pace and with it the demand for food and resources....
This paper addresses a problem of environmental data analysis, where the data is obtained from diffe...
Efficiently exploring a large dataset with the aim of forming a hypothesis is one of the main challe...
One of the important issues related with all types of data analysis, either statistical data analysi...
The quality of discovered knowledge is highly depending on data quality. Unfortunately real data use...
Abstract: The joint workshop in Data Mining for Environmental Scientists and Intelligent Environment...
Data Mining (DM) is a fundamental component of the Data Science process. Over recent years a huge li...
Over recent years a huge library of data mining algorithms has been developed to tackle a variety of...
Environmental data mining is the nontrivial process of identifying valid, novel, and potentially use...
We live in a world where vast amounts of data are collected daily. Data warehouses and Data mining g...
National audienceThe preservation of biodiversity is a crucial challenge of our times. Computer Scie...
[EN] Data Mining (DM) is a fundamental component of the Data Science process. Over recent years a hu...
Environmental data are growing in complexity, size, and resolution. Addressing the types of large, m...
Encouraging the use of computer algorithms by developing new algorithms and introducing uncommonly k...
Data science is the science of extracting meaning from potentially complex data. This is a fast movi...
Our planet’s population is increasing at a rapid pace and with it the demand for food and resources....
This paper addresses a problem of environmental data analysis, where the data is obtained from diffe...
Efficiently exploring a large dataset with the aim of forming a hypothesis is one of the main challe...
One of the important issues related with all types of data analysis, either statistical data analysi...
The quality of discovered knowledge is highly depending on data quality. Unfortunately real data use...
Abstract: The joint workshop in Data Mining for Environmental Scientists and Intelligent Environment...