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Along with the rapid improvements of informational technology, educational data grows quickly. Such data become massive and raw data. Researchers develop educational standards to regular such data. However, the standards are multiple and the education resources based on different education standards have different structure, which is hard to be shared. Most of them have become Information Islands...
Web contents are going overwhelming today. The numerous online documents, webpages, e-books, etc. are much useful but obtaining them is also time-consuming. Text categorization is one of the solutions to the issue. For all text categorization method, Support Vector Machines (SVM) is one of the most acceptable one. However, to perform more efficiently on webpages, it is necessary to add improvements...
Text Classification is a daunting task because it is difficult to extract the semantics of natural language texts. Many problems must be resolved before natural-language processing techniques can be effectively applied to a large collection of texts. A significant one is to extract semantic information from corpus in plan text. In Vector Space Model, a document is conceptually represented by a vector...
With the rapid increase of protein sequences in the post-genomic age, the need for an automated and accurate tool to predict membrane protein types becomes increasingly important. Many efforts have been tried. Most of them aim to find the optimal classification scheme and less of them take the simplifying the complexity of biological system into consideration. This work shows how to decrease the complexity...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.