Add to ORKGIn the last years, the class of machine learning algorithms were extended with new techniques as for example, data mining techniques. The purpose of data-mining techniques is to extract valuable implicit regularities contained in large databases. The paper presents an analysis of some data-mining techniques used in the development of a knowledge-based system
Abstract-- Data mining is considered to deal with huge amounts of data which are kept in the databas...
Data mining (knowledge discovery from data) may be viewed as the extraction of interesting (non-triv...
Diploma thesis " The real role of knowledge mining " is divided into two major parts, the theoretica...
Data mining finds valuable information hidden in large volumes of data that need to be turned into u...
Data mining is one of the most important steps of the knowledge discovery in databases process and i...
Data mining is a technology which helps different user in different field for extracting the useful ...
Abstract: In the context of data mining the feature size is very large and it is believed that it ne...
The progress of data mining technology and large public popularity establish a need for a comprehens...
Data mining techniques are rapidly growing and used by many researchers in past few years. The main ...
Abstract: Data mining may be defined as the science of extracting useful information from databases....
Every day massive amount of data is generated, collected, and stored in information repositories suc...
Abstract — Data mining is a process which finds useful patterns from large amount of data The proces...
The task of this master thesis is to describe the overall process of data mining and algorithms used...
Data mining is described as a systematic process that is a step in the process of information discov...
Abstract: Data Mining (DM) is considered as an interdisciplinary discipline: people try to solve lar...
Abstract-- Data mining is considered to deal with huge amounts of data which are kept in the databas...
Data mining (knowledge discovery from data) may be viewed as the extraction of interesting (non-triv...
Diploma thesis " The real role of knowledge mining " is divided into two major parts, the theoretica...
Data mining finds valuable information hidden in large volumes of data that need to be turned into u...
Data mining is one of the most important steps of the knowledge discovery in databases process and i...
Data mining is a technology which helps different user in different field for extracting the useful ...
Abstract: In the context of data mining the feature size is very large and it is believed that it ne...
The progress of data mining technology and large public popularity establish a need for a comprehens...
Data mining techniques are rapidly growing and used by many researchers in past few years. The main ...
Abstract: Data mining may be defined as the science of extracting useful information from databases....
Every day massive amount of data is generated, collected, and stored in information repositories suc...
Abstract — Data mining is a process which finds useful patterns from large amount of data The proces...
The task of this master thesis is to describe the overall process of data mining and algorithms used...
Data mining is described as a systematic process that is a step in the process of information discov...
Abstract: Data Mining (DM) is considered as an interdisciplinary discipline: people try to solve lar...
Abstract-- Data mining is considered to deal with huge amounts of data which are kept in the databas...
Data mining (knowledge discovery from data) may be viewed as the extraction of interesting (non-triv...
Diploma thesis " The real role of knowledge mining " is divided into two major parts, the theoretica...