Data Mining Grid - Index page

... private
project officer

Project summary

Future and emerging complex problem-solving environments are characterized by increasing amounts of digital data and rising demands for co-ordinated resource sharing across geographically widely dispersed sites. Next-generation Grid technologies are promising to provide the necessary infrastructure facilitating a seamless sharing of computing resources in complex problem-solving environments. Data mining has been recognized as one of the most important information technologies for automating the process of analysing and interpreting the data in modern knowledge industries and high-tech sectors such as science and engineering. Currently there exists no coherent framework for developing and deploying data-mining applications on the Grid. The DataMiningGrid project will address this gap by developing generic and sector-independent data mining tools and services for the Grid. A test bed consisting of several applications from a diverse set of sectors will serve as platform for demonstrating and promoting the technology developed by the DataMiningGrid. Because of its relevance across many sectors, the DataMiningGrid project has the potential to improve the sharing and exploitation of information in Europe and could consequently help to enhance the quality of life in Europe.


Data mining tools and services for the Grid.

Grid interfaces will be developed allowing data mining tools to operate in a distributed Grid computing environment. The interface development will be aligned to ongoing relevant standardisation efforts. They also include intelligent, data-mining-based Grid-monitoring services. A user-friendly workflow editor is provided facilitating configuration of analysis tasks.

Text mining and ontology-learning services and interfaces.

Text mining is a technology that is becoming increasingly important for today’s and tomorrow’s distributed knowledge workers in a wide range of domains. The project will develop text mining and ontology-learning services and interfaces. Emphasis will be placed on developing Grid-enabled algorithms for text mining and automated learning of ontologies. They are implemented on top of the generic Grid data mining facilities and highlight the solution potential of the DataMiningGrid environment.


A test bed consisting of several demonstrator applications from a diverse set of sectors, including bioinformatics, health care, and automotive. These prototypes will demonstrate the developed DataMiningGrid technology in a diverse set of application domains.

Project no: IST-004475
Project EU funding € 1.833.000
Project effort: 310 person months
Project duration: 01.09.2004 - 31.08.2006
University of Ulster DaimlerChrysler AGUniversity of Ljubljana, Faculty of Civil and Geodetic Engineering

Updated on August 10, 2004
Disclaimer: The sole responsibility for this website is with the authors; the information published does not express the opinions of the Community or of the project partners.