Found 14 Articles for Pattern Searching Algorithms

It is another approach of Boyer Moore Algorithm. Sometimes it is called the Good Suffix Heuristic method. For this case, a preprocessing table is created as suffix table. In this procedure, the substring or pattern is searched from the last character of the pattern. When a substring of main string matches with a substring of the pattern, it moves to find other occurrences of the matched substring. It can also move to find a prefix of the pattern which is a suffix of main string. Otherwise, it moves the whole length of the pattern.Input and OutputInput: Main String: “ABAAABCDBBABCDDEBCABC”, Pattern: ... Read More

The bad character heuristic method is one of the approaches of Boyer Moore Algorithm. Another approach is Good Suffix Heuristic. In this method we will try to find a bad character, that means a character of the main string, which is not matching with the pattern. When the mismatch has occurred, we will shift the entire pattern until the mismatch becomes a match, otherwise, pattern moves past the bad character.Here the time complexity is O(m/n) for best case and O(mn)for the worst case, where n is the length of the text and m is the length of the pattern.Input and ... Read More

Anagrams are basically all permutations of a given string or pattern. This pattern searching algorithm is slightly different. In this case, not only the exact pattern is searched, it searches all possible arrangements of the given pattern in the text.To solve this problem, we will divide the whole texts into several windows of length same as patterns. Then count on each character of the pattern is found and stored in an array. For each window, we also try to find the count array, then check whether they are matching or not.The time Complexity of Anagram Pattern Search Algorithm is O(n).Input ... Read More

This algorithm is helpful to find all occurrences of all given set of keywords. It is a kind of Dictionary-matching algorithm. It uses a tree structure using all keywords. After making the tree, it tries to convert the tree as an automaton to make the searching in linear time. There are three different phases of Aho-Corasick Algorithm. These are Go-to, Failure, and Output. In the go-to stage, it makes the tree using all the keywords. In the next phase or in the Failure Phase, it tries to find the backward transition to get a proper suffix of some keywords. In the ... Read More