The volume presents new developments in data analysis and classification, and gives a state of the art impression of these scientific fields at the turn of the Millenium. Areas that receive considerable attention in this book are Cluster Analysis, Data Mining, Multidimensional and Symbolic Data Analysis, Decision and Regression Trees. The volume contains a refereed selection of original papers, overview papers, and innovative applications presented at the 7th Conference of the International Federation of Classification Societies (IFCS-2000), with contributions from eminent scientists all over the world. The reader finds introductory material into various areas and kaleidoscopic views of recent technical and methodological developments in wi...
The research discusses Computational Data Analysis Classification, a short summary of the classifica...
Data mining is the process to identify valid, implicit, previously unknown, potentially useful and u...
This edited book focuses on the latest developments in classification, statistical learning, data an...
The volume presents new developments in data analysis and classification, and gives a state of the a...
The volume presents new developments in data analysis and classification and gives an overview of th...
This volume, Data Science, Classification, and Related Methods, contains a selection of papers prese...
This edited volume focuses on the latest developments in classification and data science and covers ...
Abstract: Data mining may be defined as the science of extracting useful information from databases....
The data mining method is becoming a trend on the computer science, medicine, economy, biology, admi...
Abstract: Clustering and classification of data is a difficult problem that is related to various fi...
This volume provides approaches and solutions to challenges occurring at the interface of research f...
The growing capabilities in generating and collecting data has risen an urgent need of new technique...
The first part of this book is devoted to methods seeking relevant dimensions of data. The variables...
Abstract The chapter by Milligan and Hirtle provides an overview of the current state of knowledge i...
This chapter provides a review of the field of clustering and classification as applied in the behav...
The research discusses Computational Data Analysis Classification, a short summary of the classifica...
Data mining is the process to identify valid, implicit, previously unknown, potentially useful and u...
This edited book focuses on the latest developments in classification, statistical learning, data an...
The volume presents new developments in data analysis and classification, and gives a state of the a...
The volume presents new developments in data analysis and classification and gives an overview of th...
This volume, Data Science, Classification, and Related Methods, contains a selection of papers prese...
This edited volume focuses on the latest developments in classification and data science and covers ...
Abstract: Data mining may be defined as the science of extracting useful information from databases....
The data mining method is becoming a trend on the computer science, medicine, economy, biology, admi...
Abstract: Clustering and classification of data is a difficult problem that is related to various fi...
This volume provides approaches and solutions to challenges occurring at the interface of research f...
The growing capabilities in generating and collecting data has risen an urgent need of new technique...
The first part of this book is devoted to methods seeking relevant dimensions of data. The variables...
Abstract The chapter by Milligan and Hirtle provides an overview of the current state of knowledge i...
This chapter provides a review of the field of clustering and classification as applied in the behav...
The research discusses Computational Data Analysis Classification, a short summary of the classifica...
Data mining is the process to identify valid, implicit, previously unknown, potentially useful and u...
This edited book focuses on the latest developments in classification, statistical learning, data an...