AbstractThe paper presents the history and present state of the GUHA method, its theoretical foundations and its relation and meaning for data mining
Data Mining refers to the analysis of experimental data sets to seek out relationships and to summar...
. The following are the aims of the paper: (1) To call the attention of the community of Discovery S...
Data mining is a technique for identifying patterns in large amounts of data and information. Databa...
Knowledge discovery in databases (KDD) is the process of identifying valid, novel, potentially usefu...
The development of computers has enabled the collection and storage of terabytes of data and the cre...
This study presents an introduction into the data-mining methodology CRISP-DM (CRoss-Industry Standa...
EnWe present three fundamental tools from soft computing realm to solve real world problems that are...
AbstractThe following are the aims of the paper: (1) To call the attention of the community of Disco...
AbstractThis paper contains a method for direct search of associations from numerical data that are ...
Observational calculi were introduced in the 1960’s as a tool of logic of discovery. Formulas of obs...
The suitability of the GUHA data mining method in analyzing a big data matrix is studied in this rep...
Data mining is a branch of computer science that is used to automatically extract meaningful, useful...
AbstractData mining is defined as the computational process of analyzing large amounts of data in or...
The goal of this work is a new implementation of six GUHA procedures known from LISpMiner system (4f...
The paper describes some practical aspects of using LISp-Miner for data mining. LISp-Miner is a soft...
Data Mining refers to the analysis of experimental data sets to seek out relationships and to summar...
. The following are the aims of the paper: (1) To call the attention of the community of Discovery S...
Data mining is a technique for identifying patterns in large amounts of data and information. Databa...
Knowledge discovery in databases (KDD) is the process of identifying valid, novel, potentially usefu...
The development of computers has enabled the collection and storage of terabytes of data and the cre...
This study presents an introduction into the data-mining methodology CRISP-DM (CRoss-Industry Standa...
EnWe present three fundamental tools from soft computing realm to solve real world problems that are...
AbstractThe following are the aims of the paper: (1) To call the attention of the community of Disco...
AbstractThis paper contains a method for direct search of associations from numerical data that are ...
Observational calculi were introduced in the 1960’s as a tool of logic of discovery. Formulas of obs...
The suitability of the GUHA data mining method in analyzing a big data matrix is studied in this rep...
Data mining is a branch of computer science that is used to automatically extract meaningful, useful...
AbstractData mining is defined as the computational process of analyzing large amounts of data in or...
The goal of this work is a new implementation of six GUHA procedures known from LISpMiner system (4f...
The paper describes some practical aspects of using LISp-Miner for data mining. LISp-Miner is a soft...
Data Mining refers to the analysis of experimental data sets to seek out relationships and to summar...
. The following are the aims of the paper: (1) To call the attention of the community of Discovery S...
Data mining is a technique for identifying patterns in large amounts of data and information. Databa...
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