String Transformation-A Query based Approach

Data mining is the process of analyzing data from different perspectives and it is a powerful area, which computerizes the process of searching valuable information from a large database. Its wide range of applications promises a future, where the data grow rapidly. Many problems in natural language processing, data mining, information retrieval, and bioinformatics can be formalized as string transformation. Proposed system implements string transformation in data mining field with the help of selected algorithms. String transformation includes a set of operators to transform a given string into most likely output strings. Insertion, deletion, transposition, and substitution are the operators for transformation. Transformation rules and predefined rule indexes are used here to avoid unwanted searches and time delay. Here the users can view the formation of possible outcomes from the given string. Another important feature is query reformulation. By using efficient methods, proposed system can introduce query reformulation with useful description about the given query. Query reformulation is also a transformation technique and it deals with the term mismatch problem. Here similar query pairs can mine from training data. Proposed system tries to transform a given query to original query and therefore make a better match between the query and the document and also act as a library, which give a brief description about books of authors.