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Titlebook: Database Theory and Application, Bio-Science and Bio-Technology; International Confer Tai-hoon Kim,Hojjat Adeli,Xiaofeng Song Conference pr

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A Comparative Analysis of Array Models for Databases, into database modeling. Due to this lack of attention there is only insufficient array support by today’s database technology. This is surprising given that large, multi-dimensional arrays have manifold practical applications in earth sciences (such as remote sensing and climate modeling), life sci
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Potentials of Circulation Data Analysis for Library Marketing: A Case Study in a University Librarysidered it very useful. However, due to the progress of the information society, our society becomes too complex to capture the patrons’s needs for them in the way they have been using so far. The aim of this paper is to demonstrate the importance and usefulness of marketing by presenting some analy
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Reducing the Subjectivity of Gene Expression Data Clustering Based on Spatial Contiguity Analysis,nts of clustering lead to different processes of convergence. However, the setting of initial points is mainly dependent on the judgments of experimenters. This subjectivity brings problems, including local minima and an extra computing consumption when bad initial points are selected. Hence, spatia
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A Novel Non-contact Infection Screening System Based on Self-Organizing Map with K-means Clusteringtering algorithm. In this study, the linear discriminant analysis (LDA) used in our previous system was replaced by SOM with K-means clustering algorithm to increase accuracy. The system simultaneously measures heart rate, respiratory rate, and facial skin temperature. The evaluation was done using
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Integrating Inductive Knowledge into the Inference System of Biomedical Informatics,on to the set of predefined rules, the system includes rules that are automatically induced from the database instances. We design the inductive expert system such that the inductive process has been done through the tree-based knowledge discovery technique. Probabilistic decision rules are then tra
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Method for Protein Active Sites Detection Based on Fuzzy Decision Trees,xist, but due to their complexity the number of protein structures with unknown functions is rapidly growing. So, there is an obvious necessity for development of computer methods for annotating protein structures. In this paper we present a fuzzy decision tree based method for protein active sites
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