String Transformation for Effective Search
Journal Title: International journal of Emerging Trends in Science and Technology - Year 2016, Vol 3, Issue 6
Abstract
String transformation can be considered as a problem in natural language processing such as data mining, information retrieval, bioinformatics, medical science etc. If we simply consider the medical system there is great need of string transformations in the system. Not only common user but the experts also need the help of string suggestions for accurate results. There are systems which uses different methods of string transformation and generation for giving better results. But these results are accurate and efficient for only small scale datasets. Here a method is proposed which not only give accurate results but also efficient. Thus different string transformation methods are used and queries are reformulated for getting accurate as well as efficient results. The approach includes a model which is used to find the different strings from the databases which match the input string or query on the basis of parameter estimation. An algorithm is used to find the top K matching candidates. The proposed method is used for correction of spelling errors in queries and reformulates the query for better search results. According to experimental results on large scale datasets the proposed method is accurate and efficient on different string transformation methods
Authors and Affiliations
Ms Sheetal More
Keywords
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