This survey of the symposium papers argues that the problem of data mining should be of interest to both practicing econometricians and specialists in economic methodology. After summarizing some of the main points to arise in the symposium, it draws on recent work in the philosophy of science to point to parallels between data mining and practices engaged in routinely by experimental scientists. These suggest that data mining might be seen in a more positive light than conventional doubts about it imply
Data mining can be defined as exploration and analysis of large quantities of data in order to disco...
Introduction to operations research and data mining www.elsevier.com/locate/dsw Over the past severa...
The terms data mining, data science, machine learning have invaded not only newspaper headlines and ...
This survey of the symposium papers argues that the problem of data mining should be of interest to ...
Statistics is about the analysis of data. Some statistical ideas are designed for problems in which ...
Data mining is one of the most rapidly growing research areas in computer science and statistics. In...
The thesis is focused on an introduction of data mining. Data mining is focused on finding of a hidd...
Abstract This chapter is written for computer scientists, engineers, mathematicians, and scientists ...
Data mining (knowledge discovery from data) may be viewed as the extraction of interesting (non-triv...
Opening Remarks: Data Mining has been developed, though vigorously, under rather ad hoc and vague co...
An introduction to statistical data mining, Data Analysis and Data Mining is both textbook and profe...
International audienceComputer science is essentially an applied or engineering science , creating t...
Every second, huge amount of data is generated and accumulated. This data could possibly be used in ...
Knowledge acquisition techniques have been well researched in the data mining community. Such techni...
AbstractData mining is defined as the computational process of analyzing large amounts of data in or...
Data mining can be defined as exploration and analysis of large quantities of data in order to disco...
Introduction to operations research and data mining www.elsevier.com/locate/dsw Over the past severa...
The terms data mining, data science, machine learning have invaded not only newspaper headlines and ...
This survey of the symposium papers argues that the problem of data mining should be of interest to ...
Statistics is about the analysis of data. Some statistical ideas are designed for problems in which ...
Data mining is one of the most rapidly growing research areas in computer science and statistics. In...
The thesis is focused on an introduction of data mining. Data mining is focused on finding of a hidd...
Abstract This chapter is written for computer scientists, engineers, mathematicians, and scientists ...
Data mining (knowledge discovery from data) may be viewed as the extraction of interesting (non-triv...
Opening Remarks: Data Mining has been developed, though vigorously, under rather ad hoc and vague co...
An introduction to statistical data mining, Data Analysis and Data Mining is both textbook and profe...
International audienceComputer science is essentially an applied or engineering science , creating t...
Every second, huge amount of data is generated and accumulated. This data could possibly be used in ...
Knowledge acquisition techniques have been well researched in the data mining community. Such techni...
AbstractData mining is defined as the computational process of analyzing large amounts of data in or...
Data mining can be defined as exploration and analysis of large quantities of data in order to disco...
Introduction to operations research and data mining www.elsevier.com/locate/dsw Over the past severa...
The terms data mining, data science, machine learning have invaded not only newspaper headlines and ...