Add to ORKGThis series aims to capture new developments and applications in data mining and knowledge discovery, while summarizing the computational tools and techniques useful in data analysis. This series encourages the integration of mathematical, statistical, and computational methods and techniques through the publication of a broad range of textbooks, reference works, and hand-books. The inclusion of concrete examples and applications is highly encouraged. The scope of the series includes, but is not limited to, titles in the areas of data mining and knowledge discovery methods and applications, modeling, algorithms, theory and foundations, data and knowledg
summary:The paper gives an overview of feature selection techniques in statistical pattern recogniti...
This volume provides approaches and solutions to challenges occurring at the interface of research f...
The data mining method is becoming a trend on the computer science, medicine, economy, biology, admi...
This series aims to capture new developments and applications in data mining and knowledge discovery...
With advanced computer technologies and their omnipresent usage, data accumulates in a speed unmatch...
Computational Science is an interdisciplinary field that addresses all aspects of science and engine...
Data mining is the process of analyzing data from different perspectives and summarizing it into use...
Feature selection is an important task in data miningand machine learning to reduce the dimens...
Data Mining and Knowledge Discovery in Databases (KDD) are rapidly evolving areas of research that c...
Data mining is one of the most rapidly growing research areas in computer science and statistics. In...
With the rapid advance of information technologies, human beings increasingly rely on computers to a...
This paper describes three different fundamental mathematical programming approaches that are releva...
This paper introduces concepts and algorithms of feature selection, surveys existing feature selecti...
The progress of data mining technology and large public popularity establish a need for a comprehens...
The aim of this paper is to discuss about various feature selection algorithms applied on different ...
summary:The paper gives an overview of feature selection techniques in statistical pattern recogniti...
This volume provides approaches and solutions to challenges occurring at the interface of research f...
The data mining method is becoming a trend on the computer science, medicine, economy, biology, admi...
This series aims to capture new developments and applications in data mining and knowledge discovery...
With advanced computer technologies and their omnipresent usage, data accumulates in a speed unmatch...
Computational Science is an interdisciplinary field that addresses all aspects of science and engine...
Data mining is the process of analyzing data from different perspectives and summarizing it into use...
Feature selection is an important task in data miningand machine learning to reduce the dimens...
Data Mining and Knowledge Discovery in Databases (KDD) are rapidly evolving areas of research that c...
Data mining is one of the most rapidly growing research areas in computer science and statistics. In...
With the rapid advance of information technologies, human beings increasingly rely on computers to a...
This paper describes three different fundamental mathematical programming approaches that are releva...
This paper introduces concepts and algorithms of feature selection, surveys existing feature selecti...
The progress of data mining technology and large public popularity establish a need for a comprehens...
The aim of this paper is to discuss about various feature selection algorithms applied on different ...
summary:The paper gives an overview of feature selection techniques in statistical pattern recogniti...
This volume provides approaches and solutions to challenges occurring at the interface of research f...
The data mining method is becoming a trend on the computer science, medicine, economy, biology, admi...