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Now-a-days all most all areas of life uses internet and search engines for getting relevant and useful information about various topics. Large index data bases are to be used in automatic document search and retrieval from large document collections. Term weighting schemes are very good in identifying and selecting good indexing terms. But it is possible to generate more efficient indexing terms using...
In most manufacturing industries, the human resources department has the responsibility for training new employees for their new roles and duties. Special instructors, time and several other related resources considered for this training translate into a high cost for any company. Quality, a factor that distinguish the efficiency and competitiveness among enterprises has become a very important to...
Multilingual information retrieval has attracted lots of attention in recent years due to the explosive increase of multilingual Web pages. It will not be easy to retrieve documents written in languages other than the query if the relationships among entities of different languages were not found. In this work, we will develop a method based on self-organizing maps to organize documents into hierarchy...
Document correlation analysis is now a focus of study in text mining. This paper proposed a Document Correlation Model to capture the correlation between documents from topic level. The model represents the document correlation as the Optimal Matching of a bipartite graph, of which each partition is a document, each node is a topic, and each edge is the similarity between two topics. The topics of...
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