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Searching through a large volume of data is very critical for companies,scientists, and searching engines applications due to time complexity andmemory complexity. In this paper, a new technique of generating FuzzyFindDictionary for text mining was introduced. We simply mapped the 23 bits of theEnglish alphabet into a FuzzyFind Dictionary or more than 23 bits by using moreFuzzyFind Dictionary, and reflecting the presence or absence of particularletters. This representation preserves closeness of word distortions in termsof closeness of the created binary vectors within Hamming distance of 2deviations. This paper talks about the Golay Coding Transformation Hash Tableand how it can be used on a FuzzyFind Dictionary as a new technology for usingin searching through big data. This method is introduced by linear timecomplexity for generating the dictionary and constant time complexity to accessthe data and update by new data sets, also updating for new data sets is lineartime depends on new data points. This technique is based on searching only forletters of English that each segment has 23 bits, and also we have more than23-bit and also it could work with more segments as reference table.

Construction of FuzzyFind Dictionary using Golay Coding Transformation for Searching Applications