Titlebook: Intelligent Information Technology; 7th International Co Gautam Das,Ved Prakash Gulati Conference proceedings 2005 Springer-Verlag Berlin H

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书目名称Intelligent Information Technology影响因子(影响力)




书目名称Intelligent Information Technology影响因子(影响力)学科排名




书目名称Intelligent Information Technology网络公开度




书目名称Intelligent Information Technology网络公开度学科排名




书目名称Intelligent Information Technology被引频次




书目名称Intelligent Information Technology被引频次学科排名




书目名称Intelligent Information Technology年度引用




书目名称Intelligent Information Technology年度引用学科排名




书目名称Intelligent Information Technology读者反馈




书目名称Intelligent Information Technology读者反馈学科排名

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BioPubMiner: Machine Learning Component-Based Biomedical Information Analysis Platformanguage processing techniques and machine learning based data mining techniques for mining useful biological information such as protein-protein interaction from the massive literature. The system recognizes biological terms such as gene, protein, and enzymes and extracts their interactions describe

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A Linear Time Algorithm for Constructing Tree 4-Spanner in 2-Treeshas a tree .-spanner is called a .... It has been shown in [3] that the problem of recognizing whether a graph admits a tree .-spanner is NP-complete for . ≥ 4. In this paper, we present a linear time algorithm for constructing a tree 4-spanner in a tree 4-spanner admissible 2-tree.

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Detecting Topology Preserving Feature Subset with SOMhe current study the SOM’s topology preservation property is used to identify the input features whose removal does not affect significantly the neighborhood relations among the input data points. The topology preservation property of of an SOM is measured using a quantitative index. However the sam

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Adaptive Neural Network-Based Clustering of , Protein–Protein Interactionscategories for new protein interaction prediction in conjunction with information theory based feature selection. Our technique for grouping protein interaction is based on ART-1 neural network. The cluster prototype constructed with existing protein interaction data is used to predict the class of

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Design and Deployment of IP Virtual Private Networks: A Case Studyaphic area. All users of these private networks want to access data and resources as if they were located at the same physical site in the enterprise. To complement classical corporate wide area network infrastructures, IP Virtual Private Networks have been gaining ground, with the capability of off

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