期刊名称：International Journal of Engineering and Computer Science
印刷版ISSN：2319-7242
出版年度：2015
卷号：4
期号：7
页码：13620-13625
出版社：IJECS
摘要：Data mining is a powerful area, which computerizes the process of searching valuable information from a large database. Itswide 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 indata mining field with the help of efficient algorithms. As its name implies string transformation includes a set of operators to transform agiven 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 theformation of possible outcomes from the given string. By extracting these, proposed system finds most appropriate matches with respect tothe given string and gives them as output within seconds. Another important feature is to provide query reformulation. By using efficientmethods, proposed system can introduce query reformulation with useful description about the given query. Query reformulation is also atransformation technique and it deals with the term mismatch problem. Here similar query pairs can mine from training data. Proposedsystem tries to transform a given query to original query and therefore make a better match between the query and the document and alsogive a brief description about this like a search engine. Challenge is compounded by the fact is that new information from the field is beingadded to the database on a daily basis. For this purpose, proposed system use a dictionary method to add details to the database and theinformation retrieved by text mining approach. Text mining is a new area of computer science and a sibling of data mining which fostersstrong connections with data mining and knowledge management. Proposed system is an efficient system and need less time for the retrievalof data.
