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Data miningDisease
Abstract The aim of this chapter is to present the main statistical issues in Data mining (DM) and Knowledge Data Discovery (KDD) and to examine whether traditional statistics approach and methods substantially differ from the new trend of KDD and DM. We address and emphasize some central issues of statistics which are highly relevant to DM and have much to offer to DM
Data mining (knowledge discovery from data) may be viewed as the extraction of interesting (non-triv...
The digital technologies and computer advances with the booming internet uses have led to massive da...
AbstractData mining is defined as the computational process of analyzing large amounts of data in or...
The quest to find models usefully characterizing data is a process central to the scientific method,...
In this chapter, data mining and knowledge discovery (DMKD) is presented with basic concepts, a brie...
Knowledge acquisition techniques have been well researched in the data mining community. Such techni...
Data Mining and Knowledge Discovery in Databases (KDD) are rapidly evolving areas of research that c...
Data mining is a multidisciplinary field, drawing work from areas including database technology, mac...
Abstract: In the context of data mining the feature size is very large and it is believed that it ne...
Statistics is about the analysis of data. Some statistical ideas are designed for problems in which ...
The digital technologies and computer advances with the booming internet uses have led to massive da...
In recent years, the exponentially growing amount of data made traditional data analysis methods imp...
Abstract. Data mining is on the interface of Computer Science and Statistics, utilizing advances in ...
Data Mining is an idea based on a simple analogy. The growth of data warehousing has created mountai...
Abstract-- Data mining is considered to deal with huge amounts of data which are kept in the databas...
Data mining (knowledge discovery from data) may be viewed as the extraction of interesting (non-triv...
The digital technologies and computer advances with the booming internet uses have led to massive da...
AbstractData mining is defined as the computational process of analyzing large amounts of data in or...
The quest to find models usefully characterizing data is a process central to the scientific method,...
In this chapter, data mining and knowledge discovery (DMKD) is presented with basic concepts, a brie...
Knowledge acquisition techniques have been well researched in the data mining community. Such techni...
Data Mining and Knowledge Discovery in Databases (KDD) are rapidly evolving areas of research that c...
Data mining is a multidisciplinary field, drawing work from areas including database technology, mac...
Abstract: In the context of data mining the feature size is very large and it is believed that it ne...
Statistics is about the analysis of data. Some statistical ideas are designed for problems in which ...
The digital technologies and computer advances with the booming internet uses have led to massive da...
In recent years, the exponentially growing amount of data made traditional data analysis methods imp...
Abstract. Data mining is on the interface of Computer Science and Statistics, utilizing advances in ...
Data Mining is an idea based on a simple analogy. The growth of data warehousing has created mountai...
Abstract-- Data mining is considered to deal with huge amounts of data which are kept in the databas...
Data mining (knowledge discovery from data) may be viewed as the extraction of interesting (non-triv...
The digital technologies and computer advances with the booming internet uses have led to massive da...
AbstractData mining is defined as the computational process of analyzing large amounts of data in or...
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