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Yet another string matching algorithm
PRESENTED BY
P14-6011
P14-6016
Rabin Karp
 Proposed in 1987
 Michael O. Rabin
 Richard M. Karp
 Improved Naive String Matching
 By HASHING
 Average Running Time O(m+n)
Introduction
 Let text string be T of length N
 Pattern string be P of length M
 Example
 T=“hello world”; N=11;
 P=“llo”; M=3
 Application
 Keyword matching in large files
 Good for Plagiarism detection
Statement
 Calculate Hash of Pattern
 As well of M characters of text
 If hash is not equal
 Calculate hash of next M characters
 If hash is equal then
 Compare both character by character
Note: Only one comparison for sub sequence
Working
H10 E20 L30 L30 O40 50 W60 O40 R70 L30 D80
Example
tHash = Hash(“HEL”) = 10+20+30 = 60
pHash = Hash(“LLO”) = 30+30+40 = 100
tHash == pHash  FALSE
H10 E20 L30 L30 O40 50 W60 O40 R70 L30 D80
tHash = Hash(“ELL”) = 20+30+30 = 80
tHash == pHash  FALSE
H10 E20 L30 L30 O40 50 W60 O40 R70 L30 D80
tHash = Hash(“LLO”) = 30+30+40 = 100
tHash == pHash  TRUE
int RabinKarp(string t, string p) {
int pHash = Hash(p);
int limit = t.size() - p.size() + 1; // n – m + 1
for (int i = 0; i < limit; i++) {
string substr = t.substr(i, p.size());
int tHash = Hash(substr);
if (pHash == tHash && p == substr) return i;
}
return -1;
}
Implementation
 Hash to two string match then it is called Hit
 There is possibility
 Hash of “LLO” is 100
 Hash of “OLL” is 100
 This is called Hash Collision
 Minimize Collision by
 Scaling with index position
 30(3)+30(2)+40(1) = 190 | 40(3)+30(2)+30(1) = 210
 Taking mod with prime number
Hash Collision
 Hash of Pattern
 O(m)
 Hash Comparison
 O(n-m+1) = O(n) ; m < n
 Average Running Time
 O(m+n)
 Worst Case Running Time
 m comparison in each iteration
 O(mn)
Analysis
1. CLRS – 2nd Edition, Page 911-916
2. slideshare.net/GajanandSharma1/rabin-karp-string-matching-algorithm
3. stoimen.com/blog/2012/04/02/computer-algorithms-rabin-karp-string-
searching/
4. en.wikipedia.org/wiki/Rabin%E2%80%93Karp_algorithm
5. cs.princeton.edu/courses/archive/fall04/cos226/lectures/string.4up.pdf
References

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Rabin Karp - String Matching Algorithm

  • 1. Yet another string matching algorithm PRESENTED BY P14-6011 P14-6016 Rabin Karp
  • 2.  Proposed in 1987  Michael O. Rabin  Richard M. Karp  Improved Naive String Matching  By HASHING  Average Running Time O(m+n) Introduction
  • 3.  Let text string be T of length N  Pattern string be P of length M  Example  T=“hello world”; N=11;  P=“llo”; M=3  Application  Keyword matching in large files  Good for Plagiarism detection Statement
  • 4.  Calculate Hash of Pattern  As well of M characters of text  If hash is not equal  Calculate hash of next M characters  If hash is equal then  Compare both character by character Note: Only one comparison for sub sequence Working
  • 5. H10 E20 L30 L30 O40 50 W60 O40 R70 L30 D80 Example tHash = Hash(“HEL”) = 10+20+30 = 60 pHash = Hash(“LLO”) = 30+30+40 = 100 tHash == pHash  FALSE H10 E20 L30 L30 O40 50 W60 O40 R70 L30 D80 tHash = Hash(“ELL”) = 20+30+30 = 80 tHash == pHash  FALSE H10 E20 L30 L30 O40 50 W60 O40 R70 L30 D80 tHash = Hash(“LLO”) = 30+30+40 = 100 tHash == pHash  TRUE
  • 6. int RabinKarp(string t, string p) { int pHash = Hash(p); int limit = t.size() - p.size() + 1; // n – m + 1 for (int i = 0; i < limit; i++) { string substr = t.substr(i, p.size()); int tHash = Hash(substr); if (pHash == tHash && p == substr) return i; } return -1; } Implementation
  • 7.  Hash to two string match then it is called Hit  There is possibility  Hash of “LLO” is 100  Hash of “OLL” is 100  This is called Hash Collision  Minimize Collision by  Scaling with index position  30(3)+30(2)+40(1) = 190 | 40(3)+30(2)+30(1) = 210  Taking mod with prime number Hash Collision
  • 8.  Hash of Pattern  O(m)  Hash Comparison  O(n-m+1) = O(n) ; m < n  Average Running Time  O(m+n)  Worst Case Running Time  m comparison in each iteration  O(mn) Analysis
  • 9. 1. CLRS – 2nd Edition, Page 911-916 2. slideshare.net/GajanandSharma1/rabin-karp-string-matching-algorithm 3. stoimen.com/blog/2012/04/02/computer-algorithms-rabin-karp-string- searching/ 4. en.wikipedia.org/wiki/Rabin%E2%80%93Karp_algorithm 5. cs.princeton.edu/courses/archive/fall04/cos226/lectures/string.4up.pdf References