Abstract
This paper presents concepts of architecture of distributed web system for data analysts. The architecture was implemented within the Advanced Data Mining and Integration Research for Europe (ADMIRE) project. The idea of the project is to provide a powerful and flexible infrastructure aiding experts to extract knowledge from the data by providing easy access to data mining and integration tools collected in one distributed system. The project is focused mainly on solving data mining problems where the data is large and spread.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Atkinson, M., Brezany, P., Aranda, C.B., Chorcho, O., van Hemert, J., Janciak, I., Woehrer, A., Yaikhom, G.: ADMIRE D1.6 - Report on Progress of Model, Language and Ontology Research. ADMIRE Internal Project Report (2010)
Buttle, F.: Customer Relationship Management. Concepts and Tools. Elsevier, Buttleworth-Heineman (2004)
LlorǍ, X.: Meandre: Semantic-Driven Data-Intensive Flows in the Clouds (2010)
Association Rule Mining with WEKA, http://maya.cs.depaul.edu/classes/ect584/WEKA/associate.html
Jarka, M.: The Application of Data Mining Methods in Telecommunications. B.Sc. Thesis, Faculty of Electronics and Information Technology. Warsaw University of Technology (2010)
Guillet, F., Hamilton, H.J.: Quality Measures in Data Mining. Springer, Heidelberg (2007)
Berman, F., Fox, G.C., Hey, A.J.G.: Grid computing. Making the Global Infrastructure a Reality (2003)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2011 Springer-Verlag Berlin Heidelberg
About this chapter
Cite this chapter
Jarka, M., Podraza, R. (2011). Architecture of Distributed System for Challenging Data Mining Tasks. In: Ryżko, D., Rybiński, H., Gawrysiak, P., Kryszkiewicz, M. (eds) Emerging Intelligent Technologies in Industry. Studies in Computational Intelligence, vol 369. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-22732-5_17
Download citation
DOI: https://doi.org/10.1007/978-3-642-22732-5_17
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-22731-8
Online ISBN: 978-3-642-22732-5
eBook Packages: EngineeringEngineering (R0)