By Ralf-Dieter Schimkat, Wolfgang Küchlin, Frank Nestel (auth.), Herwig Unger, Thomas Böhme, Armin Mikler (eds.)
This booklet constitutes the refereed court cases of the second one foreign workshop on leading edge web Computing structures, IICS 2002, held in K?hlungsborn, Germany, in June 2002.
The 19 revised complete papers provided including an invited paper have been conscientiously reviewed and chosen from over 30 submissions. one of the issues addressed are large-scale disbursed computing infrastructures providing new demanding situations to info and net expertise, the administration and retrieval of web-based info, content material class, web-based groups administration, constitution and retrieval of knowledge from huge disbursed info bases, and the illustration of the dispensed nature of data via graph-theoretical types.
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Extra resources for Innovative Internet Computing Systems: Second International Workshop, IICS 2002 Kühlungsborn, Germany, June 20–22, 2002 Proceedings
Example text
5 Cost Effectiveness The volumes of data in databases are increasing day-by-day. Large-scale data sets are usually physically distributed. Current methods can handle data in the tens-ofgigabytes range. Association rule mining algorithms do not appear to be suitable for the terabyte range [10]. On the other hand, the Distributed Data Mining Application involves transferring huge amounts data through the networks. This requires implementing some kinds of compression technology. In our module we use Java ZIP compression technology for reducing the data traffic cost.
Communication Subsystem Web Server Mining Server Mining Subsystem Database Subsystem Transaction Monitor Database Manager Prediction Table DB Rule Repository Algorithm Manager Query Engine Mining Manager Configuration Manager Rule Generator Analyzing Subsystem Prediction Manager Analyzer Fig. 1. Distributed Data Mining Architecture 32 Mafruz Zaman Ashrafi et al. 1 Communication Subsystem The communication subsystem is the heart of the network communication. It is responsible for sending and receiving requests to or from other sites registered with the local site.
Wiesbaden: Dt. Universitätsverlag, 93-99. ; Wolff, Ch. (2000). ” In: Proc. LREC-2000. Second International Conference On Language Resources and Evaluation. Athens, May/June 2000, Vol. I, 241-246. Salton, Gerard (1989). Automatic Text Processing. The Transformation, Analysis, and Retrieval of Information by Computer. Sinclair, J. (1991). Corpus Concordance Collocation. Oxford: Oxford University Press. Smadja F. (1993). ” In: Computational Linguistics 19(1) (1993), 143-177. Svartvik, J. ) (1992).
