Data Mining: Multimedia, Soft Computing, and Bioinformatics
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Page 144
... Substring : A string = ... 12. Ik is a substring of another string Yn , if and only if there exists an i , 0 ≤ i ≤ n , so that Yi + j − 1 = Xj for j 1,2 , ... , k . y = Y1Y2Y3 · = As an example , the string ' bad ' is a substring of ...
... Substring : A string = ... 12. Ik is a substring of another string Yn , if and only if there exists an i , 0 ≤ i ≤ n , so that Yi + j − 1 = Xj for j 1,2 , ... , k . y = Y1Y2Y3 · = As an example , the string ' bad ' is a substring of ...
Page 145
... substring formed by deleting zero or more characters from the end of s . ... Hence x is a prefix of s if there exist a substring y so that s = xy . In other words , prefix of s = 8182 Sn is any substring $ 182 . Sk , where 0 ≤ k ≤ n ...
... substring formed by deleting zero or more characters from the end of s . ... Hence x is a prefix of s if there exist a substring y so that s = xy . In other words , prefix of s = 8182 Sn is any substring $ 182 . Sk , where 0 ≤ k ≤ n ...
Page 154
... substring prior to the first character . In Fig . 4.6 , we show the pattern overlapped with itself . The left - hand side of the vertical line shows the substring P1P2Pj - 1 as well as the overlapping of the longest prefix of this substring ...
... substring prior to the first character . In Fig . 4.6 , we show the pattern overlapped with itself . The left - hand side of the vertical line shows the substring P1P2Pj - 1 as well as the overlapping of the longest prefix of this substring ...
Contents
Soft Computing | 37 |
Multimedia Data Compression | 89 |
standard | 129 |
Copyright | |
9 other sections not shown
Other editions - View all
Data Mining: Multimedia, Soft Computing, and Bioinformatics Sushmita Mitra,Tinku Acharya Limited preview - 2005 |
Data Mining: Multimedia, Soft Computing, and Bioinformatics Sushmita Mitra,Tinku Acharya No preview available - 2005 |
Common terms and phrases
applications approach association rules ATATA binary Bioinformatics Boyer-Moore algorithm C₁ categorical classification clustering coding coefficients color components computational complexity content-based image retrieval corresponding data compression data mining database dataset decision tree decoder defined dictionary distance document domain efficient encoder outputs entropy entropy encoding evaluation example extracted feature fuzzy sets gene Hence Huffman code IEEE Transactions image retrieval initial input integer involving JPEG Karp-Rabin knowledge discovery knowledge-based network learning length linguistic matching algorithms matrix measure method mismatch Mitra multimedia data neural networks neuro-fuzzy neurons objects occurrence optimal partition pattern matching pixel prediction prefix protein pruning quantization query represented result rough set sample Section sequence shown in Fig soft computing split statistical string matching structure substring suffix symbol Table techniques text mining transformed vector wavelet Web mining weights