World and internet is full of textual information. We search for information using textual queries, we read websites, books, e-mails. All those are strings from the point of view of computer science. To make sense of all that information and make search efficient, search engines use many string algorithms. Moreover, the emerging field of personalized medicine uses many search algorithms to find disease-causing mutations in the human genome. Do you have technical problems? Write to us: coursera@hse.ru
Brute Force Approach to Pattern Matching
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Destrezas que aprenderás
Suffix Tree, Suffix Array, Knuth–Morris–Pratt (KMP) Algorithm, Algorithms On Strings
Revisiones
AF
Aug 20, 2019
Takes your understanding of string algorithms to the next level and gives you new ideas of handling large amount of memory intensive tasks.
PG
Nov 19, 2017
great course, interesting concepts and very well delivered content from lecture videos. challenging and rewarding programming assignments.
De la lección
Suffix Trees
How would you search for a longest repeat in a string in LINEAR time? In 1973, Peter Weiner came up with a surprising solution that was based on suffix trees, the key data structure in pattern matching. Computer scientists were so impressed with his algorithm that they called it the Algorithm of the Year. In this lesson, we will explore some key ideas for pattern matching that will - through a series of trials and errors - bring us to suffix trees.
Impartido por:
Alexander S. Kulikov
Visiting Professor
Michael Levin
Lecturer
Pavel Pevzner
Professor
Neil Rhodes
Adjunct Faculty
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