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Effective dictionary based data compression and pattern searching in dictionary based compressed data

机译:在基于字典的压缩数据中有效的基于字典的数据压缩和模式搜索

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Effective data compression is the most important concern in data management methods. The LZW Compression method is one of the most popular algorithms in different compression method. There is one more concern i.e. compressed pattern matching. Compressed pattern matching is an emerging research area that addresses the problem in which finding patterns in the compressed data and report all the occurrences of the patterns without decompressing the compressed data. In this thesis has developed, analyzed and test a new data compression technique “Compression data Based on Dictionary” and "Searching Algorithm in Compressed data". This Algorithm generates the compression codes for words and maintains a dictionary for compression as well as decompression. Searching algorithm uses the quick search string matching algorithm for finding the required patterns.
机译:有效的数据压缩是数据管理方法中最重要的问题。 LZW压缩方法是不同压缩方法中最受欢迎的算法之一。还有另外一个问题,即压缩模式匹配。压缩模式匹配是一个新兴的研究领域,致力于解决以下问题:在压缩数据中查找模式并报告所有模式的出现而无需对压缩数据进行解压缩。本文开发,分析和测试了一种新的数据压缩技术“基于字典的压缩数据”和“压缩数据中的搜索算法”。该算法生成单词的压缩码,并维护字典以进行压缩和解压缩。搜索算法使用快速搜索字符串匹配算法来查找所需的模式。

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