TY - JOUR
T1 - Grid-enabling data mining applications with DataMiningGrid: An architectural perspective
AU - Stankovski, Vlado
AU - Swain, Martin Thomas
AU - Kravtsov, Valentin
AU - Niessen, Thomas
AU - Wegener, Dennis
AU - Kindermann, Jörg
AU - Dubitzky, Werner
PY - 2008/4/1
Y1 - 2008/4/1
N2 - The DataMiningGrid system has been designed to meet the requirements of modern and distributed data mining scenarios. Based on the Globus Toolkit and other open technology and standards, the DataMiningGrid system provides tools and services facilitating the grid-enabling of data mining applications without any intervention on the application side. Critical features of the system include flexibility, extensibility, scalability, efficiency, conceptual simplicity and ease of use. The system has been developed and evaluated on the basis of a diverse set of use cases from different sectors in science and technology. The DataMiningGrid software is freely available under Apache License 2.0.
AB - The DataMiningGrid system has been designed to meet the requirements of modern and distributed data mining scenarios. Based on the Globus Toolkit and other open technology and standards, the DataMiningGrid system provides tools and services facilitating the grid-enabling of data mining applications without any intervention on the application side. Critical features of the system include flexibility, extensibility, scalability, efficiency, conceptual simplicity and ease of use. The system has been developed and evaluated on the basis of a diverse set of use cases from different sectors in science and technology. The DataMiningGrid software is freely available under Apache License 2.0.
KW - Data mining
KW - Distributed systems
KW - Web-based services
UR - http://hdl.handle.net/2160/10828
U2 - 10.1016/j.future.2007.05.004
DO - 10.1016/j.future.2007.05.004
M3 - Article
SN - 0167-739X
VL - 24
SP - 259
EP - 279
JO - Future Generation Computer Systems
JF - Future Generation Computer Systems
IS - 4
ER -