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Titlebook: Networked Digital Technologies, Part I; Second International Filip Zavoral,Jakub Yaghob,Eyas El-Qawasmeh Conference proceedings 2010 Spring

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An Efficient Indexing and Compressing Scheme for XML Query Processing Clustering Indexing Method). The experimental results show that NCIM can compress XML documents with high compression rate and low index construction time. It also supports complex queries efficiently.
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A Framework for In-House Prediction Marketsactors for determining the participant’s influence on the market over the long term. The goal of this design approach is to improve the accuracy and decision-support viability of in-house prediction markets.
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Distributed Data-Mining in the LISp-Miner System Using Techila Gridy tasks to automate the whole KDD process. Need is therefore to speed-up maximally solving of every single task. This article describes newly implemented algorithm to divide the whole task into sub-tasks solved in parallel on grid nodes. There are presented the first results and further possible improvements.
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Classifier Hypothesis Generation Using Visual Analysis Methods used to explore the document sets and to inspect the results of machine learning methods, allowing the user to assess the classifier performance and adapt the classifier by gradually refining the training set.
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Exploiting Punctuations along with Sliding Windows to Optimize STREAM Data Managerfor the possible optimization of the query processing. We discuss the potential inadequacies of the current query model and put forward the use of punctuations along with sliding windows to improve the memory utilization and query processing.
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Road Region Extraction Based on Motion Information and Seeded Region Growing for Foreground Detectio mainly performed on or near the pixels of road region so as to facilitate and accelerate foreground detection. In addition, the regions outside road region most of the time do not need to be transmitted in visual communication. Experimental results represent the accuracy and usefulness of our proposed method.
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1865-0929 les University in Prague, Czech Republic, we welcome you to the proceedings of the Second International Conference on ‘Networked Digital Technologies’ (NDT 2010). The NDT 2010 conference explored new advances in digital and Web technology applications. It brought together researchers from various ar
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Extracting Fuzzy Rules to Classify Motor Imagery Based on a Neural Network with Weighted Fuzzy Membeour numbers of input features that are extracted in the second step. In this paper, twenty-four numbers of input features are selected for generating the fuzzy rules to classify motor imagery. NEWFM is tested on the Graz BCI datasets that were used in the BCI Competitions of 2003. The accuracy of NEWFM is 83.51%.
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