A comparitive analysis of single pattern matching algorithms in text mining

Text Mining is an emerging area of research where the necessary information of user needs to be provided from large amount of information. The user wants to find a text P in the search box from the group of text information T. A match needs to be found in the information then only the search is successful. Many String matching algorithms available for this search. This paper discusses three algorithms in unique pattern searching in which only one occurrence of the pattern is searched. Knuth Morris Pratt, Naive and Boyer Moore algorithms implemented in Python and compared their execution time for different Text length and Pattern length. This paper also gives you a brief idea about time Complexity, Characteristics given by other authors. The paper is concluded with the best algorithm for increase in text length and pattern length.