There are many approaches to data mining and knowledge discovery (DM&KD), including neural networks, closest neighbor methods, and various statistical methods. This monograph, however, focuses on the development and use of a novel approach, based on mathematical logic, that the author and his research associates have worked on over the last 20 years. The methods presented in the book deal with key DM&KD issues in an intuitive manner and in a natural sequence. Compared to other DM&KD methods, those based on mathematical logic offer a direct and often intuitive approach for extracting easily in
International audienceKnowledge Discovery in Databases (KDD) and especially pattern mining can be in...
In this chapter, data mining and knowledge discovery (DMKD) is presented with basic concepts, a brie...
The paper contains a review of methodologies of a process of knowledge discovery from data and metho...
Abstract: Methods for solution of a large class of problems on the base of nonclassical, multiple-va...
An enormous proliferation of databases in almost every area of human endeavor has created a great de...
About 20 years ago, we proposed an innovative approach to data mining based on a blend of Boolean te...
In view of the tremendous production of computer data worldwide, there is a strong need for new powe...
In recent years, the exponentially growing amount of data made traditional data analysis methods imp...
Data Mining and Knowledge Discovery in Databases (KDD) are rapidly evolving areas of research that c...
. The following are the aims of the paper: (1) To call the attention of the community of Discovery S...
Data mining finds valuable information hidden in large volumes of data that need to be turned into u...
This book presents four different ways of theoretical and practical advances and applications of dat...
This series aims to capture new developments and applications in data mining and knowledge discovery...
Knowledge discovery and data mining methods have been successful in many domains. However, their abi...
The phenomenal growth of Information Technology requires us to elicit, store and maintain huge volum...
International audienceKnowledge Discovery in Databases (KDD) and especially pattern mining can be in...
In this chapter, data mining and knowledge discovery (DMKD) is presented with basic concepts, a brie...
The paper contains a review of methodologies of a process of knowledge discovery from data and metho...
Abstract: Methods for solution of a large class of problems on the base of nonclassical, multiple-va...
An enormous proliferation of databases in almost every area of human endeavor has created a great de...
About 20 years ago, we proposed an innovative approach to data mining based on a blend of Boolean te...
In view of the tremendous production of computer data worldwide, there is a strong need for new powe...
In recent years, the exponentially growing amount of data made traditional data analysis methods imp...
Data Mining and Knowledge Discovery in Databases (KDD) are rapidly evolving areas of research that c...
. The following are the aims of the paper: (1) To call the attention of the community of Discovery S...
Data mining finds valuable information hidden in large volumes of data that need to be turned into u...
This book presents four different ways of theoretical and practical advances and applications of dat...
This series aims to capture new developments and applications in data mining and knowledge discovery...
Knowledge discovery and data mining methods have been successful in many domains. However, their abi...
The phenomenal growth of Information Technology requires us to elicit, store and maintain huge volum...
International audienceKnowledge Discovery in Databases (KDD) and especially pattern mining can be in...
In this chapter, data mining and knowledge discovery (DMKD) is presented with basic concepts, a brie...
The paper contains a review of methodologies of a process of knowledge discovery from data and metho...