Add to ORKGAbstract: Effective methods for model structure selection are very important for data-driven modelling. A new approach based on association rule mining is developed where a correlation factor is be used to determine the most interesting model structures. The general applicability and efficiently of the developed tool are showed by two application examples. 1
Abstract: Many algorithms to mine the association rules are divided into two stages, the first is to...
In today’s world, the amount of data transfer has been increasing in a fast pace in all fields due t...
In the present work, a data mining approach is highlighted, a prediction optimization data mining...
With the development of database technology, the need for data mining arises. As a result, Associati...
This paper proposes a method to mine rules from software engineering data repositories that contain ...
Abstract- Data is important property for everyone. Large amount of data is available in the world. T...
Appropriate selection of unit tests during the software development process is vital when many unit ...
AbstractIn the field of data mining, deriving set of rules from large dataset is primary objective. ...
In this paper the application of rule mining in order to review the effective factors on supplier se...
Abstract- Data mining is the process of extracting interesting, useful and previously unknown inform...
Association Rule Mining (ARM) is one of the major data mining methods used to mine hidden knowledge ...
The task of finding correlations between items in a dataset, association mining, has received consid...
Data mining is the process of exploring and analyzing large databases to extract interesting and pr...
Abstract: Association rule mining is a significant research topic in the knowledge discovery area. I...
Since the introduction of association rules, many algorithms have been developed to perform the comp...
Abstract: Many algorithms to mine the association rules are divided into two stages, the first is to...
In today’s world, the amount of data transfer has been increasing in a fast pace in all fields due t...
In the present work, a data mining approach is highlighted, a prediction optimization data mining...
With the development of database technology, the need for data mining arises. As a result, Associati...
This paper proposes a method to mine rules from software engineering data repositories that contain ...
Abstract- Data is important property for everyone. Large amount of data is available in the world. T...
Appropriate selection of unit tests during the software development process is vital when many unit ...
AbstractIn the field of data mining, deriving set of rules from large dataset is primary objective. ...
In this paper the application of rule mining in order to review the effective factors on supplier se...
Abstract- Data mining is the process of extracting interesting, useful and previously unknown inform...
Association Rule Mining (ARM) is one of the major data mining methods used to mine hidden knowledge ...
The task of finding correlations between items in a dataset, association mining, has received consid...
Data mining is the process of exploring and analyzing large databases to extract interesting and pr...
Abstract: Association rule mining is a significant research topic in the knowledge discovery area. I...
Since the introduction of association rules, many algorithms have been developed to perform the comp...
Abstract: Many algorithms to mine the association rules are divided into two stages, the first is to...
In today’s world, the amount of data transfer has been increasing in a fast pace in all fields due t...
In the present work, a data mining approach is highlighted, a prediction optimization data mining...