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In the most recent years, with the massive expansion of the information society, the web has become a precious source of information for almost every potential domain of knowledge. This has induced many researches to initiate considering the web as a legitimate repository for Information Retrieval (IR) and knowledge acquisition tasks. The Web consists of the massive amount of information relating to every possible domain and its high redundancy, can be a valid knowledge source for similarity computation. Therefore, text mining systems faces with a huge amount of attributes. The knowledge…mehr

Produktbeschreibung
In the most recent years, with the massive expansion of the information society, the web has become a precious source of information for almost every potential domain of knowledge. This has induced many researches to initiate considering the web as a legitimate repository for Information Retrieval (IR) and knowledge acquisition tasks. The Web consists of the massive amount of information relating to every possible domain and its high redundancy, can be a valid knowledge source for similarity computation. Therefore, text mining systems faces with a huge amount of attributes. The knowledge discovery in database systems requires input texts to be represented as a set of attributes in order to deal with them. The text-to-representation method is known as text or document indexing, and the attributes are called indexes. Indexing becomes a critical task in text mining because it has to represent the information in the text with the minimum loss of semantics for its future usage.
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Autorenporträt
Dr.S.Logeswari has completed her UG in 1997 and she has 20 years of experience in teaching. She has completed her Ph.D in 2015. Presently she is working as Associate Professor in the Department of Computer Science and Engineering at Bannari Amman Institute of Technology, Sathyamangalam, Erode, Tamil Nadu, India.