Add to ORKGIncreasingly the datasets used for data mining are huge and physically distributed
Data mining tasks considered a very complex business problem. In this research, we study the enhance...
This chapter gives an evaluation of the benefits of grid-based technology from a data miner's perspe...
The paradigm of Grid computing is establishing as a novel, reliable and effective method to exploit ...
Abstract. Increasingly the datasets used for data mining are becoming huge and physically distribute...
Abstract—The growing computerization in modern academic and industrial sectors is generating huge vo...
Abstract:- Distributed data mining plays a crucial role in knowledge discovery in very large databas...
Abstract—In this paper, we discuss a Grid data mining system based on the MapReduce paradigm of comp...
Abstract: Grid computing is nothing but the computing environment in which the resources are shared ...
GRID environments are privileged targets for computation-intensive problem solving in areas from wea...
Abstract: In order to improve the performance of Data Mining applications, an effective method is ta...
Data mining tasks considered a very complex business problem. In this research, we study the enhance...
The computing-intensive data mining for inherently Internet-wide distributed data, referred to as Di...
Abstract In large Grids, like the National Grid Service (NGS), or large distributed architecture dif...
Advances in hardware and software technology enable us to collect, store and distribute large quanti...
Abstract—The growing computerization in modern academic and industrial sectors is generating huge vo...
Data mining tasks considered a very complex business problem. In this research, we study the enhance...
This chapter gives an evaluation of the benefits of grid-based technology from a data miner's perspe...
The paradigm of Grid computing is establishing as a novel, reliable and effective method to exploit ...
Abstract. Increasingly the datasets used for data mining are becoming huge and physically distribute...
Abstract—The growing computerization in modern academic and industrial sectors is generating huge vo...
Abstract:- Distributed data mining plays a crucial role in knowledge discovery in very large databas...
Abstract—In this paper, we discuss a Grid data mining system based on the MapReduce paradigm of comp...
Abstract: Grid computing is nothing but the computing environment in which the resources are shared ...
GRID environments are privileged targets for computation-intensive problem solving in areas from wea...
Abstract: In order to improve the performance of Data Mining applications, an effective method is ta...
Data mining tasks considered a very complex business problem. In this research, we study the enhance...
The computing-intensive data mining for inherently Internet-wide distributed data, referred to as Di...
Abstract In large Grids, like the National Grid Service (NGS), or large distributed architecture dif...
Advances in hardware and software technology enable us to collect, store and distribute large quanti...
Abstract—The growing computerization in modern academic and industrial sectors is generating huge vo...
Data mining tasks considered a very complex business problem. In this research, we study the enhance...
This chapter gives an evaluation of the benefits of grid-based technology from a data miner's perspe...
The paradigm of Grid computing is establishing as a novel, reliable and effective method to exploit ...