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Data Structures and Algorithms: Text Processing!

Data Structures and Algorithms: Text Processing! presents about Pattern Matching, Strings, Brute-Force Pattern Matching, Boyer-Moore Heuristics, Last-Occurrence Function, The Boyer-Moore Algorithm. | Data Structures and Algorithms
 Text Processing! Outline" •  Pattern Matching! •  Tries! •  The Greedy Method and Text Compression! •  Dynamic Programming! Phạm Bảo Sơn - DSA 2 Pattern Matching " Strings " •  A string is a sequence of characters! •  Examples of strings:! –  –  –  –  Java program! HTML document! DNA sequence! Digitized image! •  An alphabet Σ is the set of possible characters for a family of strings! •  Example of alphabets:! –  ASCII! –  Unicode! –  {0, 1}! – Phạm C, G, T}! DSA {A, Bảo Sơn - •  Let P be a string of size m ! –  A substring P[i j] of P is the subsequence of P consisting of the characters with ranks between i and j –  A prefix of P is a substring of the type P[0 i] –  A suffix of P is a substring of the type P[i m - 1] •  Given strings T (text) and P (pattern), the pattern matching problem consists of finding a substring of T equal to P •  Applications:! –  Text editors! –  Search engines! –  Biological research! 4 Brute-Force Pattern Matching " •  The brute-force pattern matching algorithm compares the pattern P with the text T for each possible shift of P relative to T, until either! –  a match is found, or! –  all placements of the pattern have been tried! Phạm Bảo Sơn - .