This 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
Knowledge discovery in databases and data mining aim at semiautomatic tools for the analysis of larg...
Data Mining and Knowledge Discovery in Databases (KDD) are rapidly evolving areas of research that c...
Data Mining refers to the analysis of experimental data sets to seek out relationships and to summar...
This series aims to capture new developments and applications in data mining and knowledge discovery...
This book on data mining explores a broad set of ideas and presents some of the state-of-the-art res...
Research on the problem of clustering tends to be fragmented across the pattern recognition, databas...
Data science is a multidisciplinary field that involves the use of statistical and computational tec...
This book presents four different ways of theoretical and practical advances and applications of dat...
Abstract: Data mining may be defined as the science of extracting useful information from databases....
Data mining finds valuable information hidden in large volumes of data that need to be turned into u...
This book explains and explores the principal techniques of Data Mining, the automatic extraction of...
The progress of data mining technology and large public popularity establish a need for a comprehens...
The field of data mining lies at the confluence of predictive analytics, statistical analysis, and b...
Advances in Data Mining Knowledge Discovery and Applications aims to help data miners, researchers, ...
computer bookfair2016Includes bibliographical references and index.xi, 593 pages :A comprehensive ov...
Knowledge discovery in databases and data mining aim at semiautomatic tools for the analysis of larg...
Data Mining and Knowledge Discovery in Databases (KDD) are rapidly evolving areas of research that c...
Data Mining refers to the analysis of experimental data sets to seek out relationships and to summar...
This series aims to capture new developments and applications in data mining and knowledge discovery...
This book on data mining explores a broad set of ideas and presents some of the state-of-the-art res...
Research on the problem of clustering tends to be fragmented across the pattern recognition, databas...
Data science is a multidisciplinary field that involves the use of statistical and computational tec...
This book presents four different ways of theoretical and practical advances and applications of dat...
Abstract: Data mining may be defined as the science of extracting useful information from databases....
Data mining finds valuable information hidden in large volumes of data that need to be turned into u...
This book explains and explores the principal techniques of Data Mining, the automatic extraction of...
The progress of data mining technology and large public popularity establish a need for a comprehens...
The field of data mining lies at the confluence of predictive analytics, statistical analysis, and b...
Advances in Data Mining Knowledge Discovery and Applications aims to help data miners, researchers, ...
computer bookfair2016Includes bibliographical references and index.xi, 593 pages :A comprehensive ov...
Knowledge discovery in databases and data mining aim at semiautomatic tools for the analysis of larg...
Data Mining and Knowledge Discovery in Databases (KDD) are rapidly evolving areas of research that c...
Data Mining refers to the analysis of experimental data sets to seek out relationships and to summar...