By Apostolos N. Papadopoulos, Alexandros Nanopoulos, Yannis Manolopoulos (auth.), Panayiotis Bozanis, Elias N. Houstis (eds.)
This quantity incorporates a subset of the papers offered on the tenth Panhellenic convention in Informatics (PCI 2005), which came about on the urban of Volos, Greece, in the course of November 11–13, 2005. After a global demand papers, 252 complete papers have been submitted. The variety of the submitted papers constitutes a list quantity for the conf- ence and divulges its starting to be dynamics. The authors represented universities and institutes from the next international locations: Algeria, Bulgaria, China, Cyprus, Czech Republic, Finland, Greece, The Netherlands, Hungary, Italy, Japan, Korea, the dominion of Saudi Arabia, Lebanon, Lithuania, Malaysia, Poland, Romania, Spain, Taiwan, Turkey, Ukraine, united kingdom, and united states. Of the submitted papers, eighty one have been permitted for inclusion during this quantity, giving an attractiveness ratio of appr- imately 32. 2%. The papers are classi?ed into 17 thematic sections as follows: – information bases and knowledge mining – algorithms and theoretical foundations – cultural and museum details platforms – Internet-scale software/information platforms – wearable and cellular computing – special effects, digital truth and visualization – AI, laptop studying and data bases – languages, textual content and speech processing – bioinformatics – software program engineering – academic applied sciences – e-business – computing device and sensor and structure – machine safeguard – picture and video processing – sign processing and telecommunications – machine and sensor networks we wish to thank the entire ProgramCommittee individuals and the extra reviewers for devoting time, e?ort and services so bounteously.
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Extra info for Advances in Informatics: 10th Panhellenic Conference on Informatics, PCI 2005, Volas, Greece, November 11-13, 2005. Proceedings
Cluster Visualizer of SGI’s MineSet tool [SGI, M] for the visualization of clustering results uses box plots arranged in rows and columns. For the visualization of association rules, IBM Intelligent Miner - Rules Graph has been based on the graph-based techniques [IBM, IMD]. The rules graph uses nodes to represent item sets and lines with arrows to represent rules. The 3D Scatter-Plots of IBM’s Data Explorer [IBM, DE] have been proposed for the exploration of raw data. The SAS Enterprise Miner Scatter-Plots [SAS, EM] has utilized the scatter-plot matrix technique linked with simple 34 I.
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