Cross Disciplinary Data Analysis
Cross disciplinary data analysis means that you analyse jointly data sets that origin is within different application domains. It is also known as a data fusion use case of data analysis. It is not...
Cross disciplinary data analysis means that you analyse jointly data sets that origin is within different application domains. It is also known as a data fusion use case of data analysis. It is not...
Machine learning refers to algorithms and techniques to learn from Big Data. It is used when there is not a direct mathematical formula to describe the data and there is an assumption that some...
Data mining of Big Data is an approach that uses traditional data analysis methods with smart algorithms for processing large quantities of data. It often refers to a process of automatically discovering useful information...
Linear Regression enables the identification of trends in your data. To provide an example, this analysis method is useful when you want to know how much marketing budget will roughly lead to how much...
The LibSVM Data Format is a specific data format for the data analysis tool LibSVM (see [Reference 1]). The Format can be also used to process big data especially because it allows for a...