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Pattern Searching using C++ library
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Pattern Searching

Last Updated : 05 Dec, 2024
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Pattern searching algorithms are essential tools in computer science and data processing. These algorithms are designed to efficiently find a particular pattern within a larger set of data.

Pattern-Searching
Patten Searching

Important Pattern Searching Algorithms:

  • Naive String Matching : A Simple Algorithm that works in O(m x n) time where m is the length of the pattern and n is the length of the text.
  • Knuth-Morris-Pratt (KMP) Algorithm It preprocesses pattern and works in O(m + n) Time.
  • Rabin-Karp Algorithm : It uses hashing to compare the pattern with the text. It works in O(m x n) Time in worst case,
  • Aho-Corasick Algorithm : A deterministic finite automaton (DFA) based algorithm and works in O(m + n) time.

Learn Basics of Pattern Searching:

  • Introduction to Pattern Searching
  • Naive Pattern Searching

Standard Pattern Searching Algorithms:

  • Rabin-Karp Algorithm
  • KMP Algorithm
  • Z algorithm
  • Finite Automata
  • Boyer Moore – Bad Character Heuristic
  • Aho-Corasick Algorithm
  • Suffix Array
  • Kasai’s Algorithm for LCP array from Suffix Array
  • Online algorithm for checking palindrome in a stream
  • Manacher’s Algorithm
  • Ukkonen’s Suffix Tree Construction – Part 1
  • Generalized Suffix Tree

Practice Problems on Pattern Searching:

  • Frequency of a Substring
  • Anagram Substring Search
  • Check if Two Strings Rotations
  • Substrings with all Vowels
  • Substrings with only Given Character
  • Find all Occurrences of a Subarray
  • Pattern Searching using a Trie of all Suffixes
  • Wildcard Pattern Matching
  • Regular Expression Matching
  • Longest prefix which is also suffix
  • Count string in a 2D array
  • Find all the patterns of “1(0+)1”
  • Max length prefix as Subsequence
  • Search a Word in a 2D Grid
  • Word Search with Zig-Zag
  • Suffix Tree Application 1 – Substring Check

Applications of Pattern Searching

Pattern searching algorithms have numerous applications, including:

  • Text Processing: Searching for keywords in a document, finding and replacing text, spell checking, and plagiarism detection.
  • Information Retrieval: Finding relevant documents in a database, web search, and data mining.
  • Bioinformatics: Searching for DNA sequences in a genome, protein analysis, and gene expression analysis.
  • Network Security: Detecting malicious patterns in network traffic, intrusion detection, and malware analysis.
  • Data Mining: Identifying patterns in large datasets, customer segmentation, and fraud detection.

Recommended:

  • Learn Data Structure and Algorithms | DSA Tutorial
  • Practice problems on Pattern Searching

Next Article
Pattern Searching using C++ library

H
harendrakumar123
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Article Tags :
  • Algorithms
  • Pattern Searching
  • DSA
Practice Tags :
  • Algorithms
  • Pattern Searching

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