[Solomonov Seminar] 165. Solomonov seminar

[Marko Grobelnik]

Vabim vas na 165. Solomonov seminar, ki bo v torek 20. decembra 2005
ob 13:00 uri v Oranzni sobi IJS (sejna soba e8/e9 - 2. nadstropje glavne zgradbe).

Na tokratnem seminarju bo predaval Vlado Stankovski iz FAGGja,
ki bo peredstavil rezultate FP6-IST projekta "Data Mining Grid" 
(http://www.datamininggrid.org), ki se, ukvarja z uporabo grid tehnologij 
v data miningu.

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Presentation of the IST project DataMiningGrid: The use of grid technologies for data mining
 
In the past, research in data mining has mainly been concerned with small to moderately sized 
data sets and knowledge-weak domains with focus on largely homogeneous and localized 
computing environments. These assumptions are no longer met in modern scientific and industrial 
complex problem-solving environments, which are increasingly relying on the sharing of geographically 
dispersed computing resources. Such knowledge-based sectors are characterized by an ever-increasing 
amount of digital data, information, and knowledge generated by the underlying activities and processes. 
Therefore, future knowledge discovery applications will need to operate on very large and distributed 
data sets and against highly structured and complex domain knowledge available in digital form. 
The data sets, the domain knowledge, and the programs for processing, analyzing, evaluating and visualizing 
these data, and other relevant resources will increasingly reside at geographically distributed sites on 
heterogeneous infrastructures and platforms (e.g. operating systems, hardware and software architectures 
and systems). Therefore, the shift to large-scale distributed computing is likely to have profound implications 
in terms of the ways how data are managed, shared and analyzed. Grid technology is expected to provide 
the necessary middle-tier layer in future distributed data mining computing environments.The goal of the 
DataMiningGrid project is to develop a coherent environment for development and use of data mining 
applications in current grid environments. The DataMiningGrid Consortium consists of 5 partners 
from 4 countries. The Faculty of Civil and Geodetic Engineering, Department for Construction Informatics 
contributes to this project in the process of collection and evaluation of user requirements, leads the 
system design as well as the demonstrations workpackage. The project will last for one more year. 
More information at: http://www.datamininggrid.org 
 
Vlado Stankovski is the technical manager of the DataMiningGrid project works as an assistant at 
the Depatment of Construction Informatics.