Add to ORKGAbstract We examine the issues of applying Data mining and Machine Learning techniques to official data, and try to explain their underuse in National Statistical Institutes
Abstract The aim of this chapter is to present the main statistical issues in Data mining (DM) and K...
Information has become an important commercial commodity-indeed, possibly the most important product...
Abstract This chapter is written for computer scientists, engineers, mathematicians, and scientists ...
Conference of European Statistics Stakeholders :Methodologists, Producers and Users of European Stat...
Along with the increasing availability of large databases under the purview of National Statistical ...
Invited paper, Data Mining in Official Statistics Workshop, April 28The use of Data Mining technique...
In statistics, the term "official data" denotes data collected in censuses and statistical surveys b...
Retrieving valuable knowledge and statistical patterns from official data has a great potential in s...
Along with the increasing availability of large databases under the purview of National Statistical ...
Artificial Intelligence methods enable the extraction of information from large amounts of data. Mac...
Data mining techniques are used to find patterns, classify records, and extract information from lar...
Abstract: Data Mining (DM) is considered as an interdisciplinary discipline: people try to solve lar...
The second edition of a bestseller, Statistical and Machine-Learning Data Mining: Techniques for Bet...
Knowledge and understanding of a problem is always the first step in identifying effective solutions...
Over the past decade, many organizations have begun to routinely cap-ture huge volumes of historica...
Abstract The aim of this chapter is to present the main statistical issues in Data mining (DM) and K...
Information has become an important commercial commodity-indeed, possibly the most important product...
Abstract This chapter is written for computer scientists, engineers, mathematicians, and scientists ...
Conference of European Statistics Stakeholders :Methodologists, Producers and Users of European Stat...
Along with the increasing availability of large databases under the purview of National Statistical ...
Invited paper, Data Mining in Official Statistics Workshop, April 28The use of Data Mining technique...
In statistics, the term "official data" denotes data collected in censuses and statistical surveys b...
Retrieving valuable knowledge and statistical patterns from official data has a great potential in s...
Along with the increasing availability of large databases under the purview of National Statistical ...
Artificial Intelligence methods enable the extraction of information from large amounts of data. Mac...
Data mining techniques are used to find patterns, classify records, and extract information from lar...
Abstract: Data Mining (DM) is considered as an interdisciplinary discipline: people try to solve lar...
The second edition of a bestseller, Statistical and Machine-Learning Data Mining: Techniques for Bet...
Knowledge and understanding of a problem is always the first step in identifying effective solutions...
Over the past decade, many organizations have begun to routinely cap-ture huge volumes of historica...
Abstract The aim of this chapter is to present the main statistical issues in Data mining (DM) and K...
Information has become an important commercial commodity-indeed, possibly the most important product...
Abstract This chapter is written for computer scientists, engineers, mathematicians, and scientists ...