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Research on Filter Algorithms for Approximate String Matching

Author: SunDeCai
Tutor: SunXingMing
School: Hunan University
Course: Computer Science and Technology
Keywords: Similar string matching Filtering algorithms Q-gram index Index compression Match the regional characteristics Filter criteria
CLC: TP391.1
Type: Master's thesis
Year: 2009
Downloads: 55
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Similar string matching is a fundamental problem in computer science , it has a wide range of applications in many fields , such as information retrieval, computational biology , and pattern recognition . Research is fast , accurate and low consumption similar to string matching algorithms have a certain role in promoting the development of these directions . q-gram index with language independence and high fault tolerance , suitable for Chinese processing . Filtering algorithm based on filter criteria to quickly abandon the text matched unrelated text fragments , suitable for large libraries find . q-gram index and filtering algorithms are often used in combination , the q - gram filter algorithm obtained because of its simple, rapid and extensive application . Similar string matching Chinese corpus , to improve the speed of matching q-gram filtering algorithm , mainly from the Chinese index structure , index optimization , matching regional characteristics of mining . On the Chinese corpus Similar string matching , a Chinese the Bigram two hash index structure index using a hash function to map all the characters in the Chinese GB2312 encoding table to the one-dimensional continuous integer space and secondary storage mode storage Chinese the Bigram items . Improve indexing speed and reduce the index space , index optimization. The linked list memory management program to manage the list of addresses of the memory allocation , this approach to improve the efficient use of memory . Index compression techniques to reduce the index occupy memory space , the experiment for a variety of compression algorithms compare obtained for address list of triples Chinese the Bigram index compression method . By improving the filtration efficiency of the filter algorithm to accelerate the speed of matching and filtering algorithm is proposed based on the matching area features . This algorithm, the pattern string and the text string are divided into logical blocks of a fixed length , and a new matching region feature is extracted from each block . Take advantage of new features in the new algorithm to optimize the basic filter criteria to improve the filtration efficiency of the algorithm , and improved based partitioning strategies filtration area to determine the program . Experimental results show that when the error rate is low , the new algorithm significantly improve before the algorithm better than new algorithm has a better application prospects in smaller similar string matching system , the error rate requirements .

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CLC: > Industrial Technology > Automation technology,computer technology > Computing technology,computer technology > Computer applications > Information processing (information processing) > Text Processing
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