Data Mining: Multimedia, Soft Computing, and Bioinformatics
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Page 137
... character ) of this new pattern is encoded as the first character of the next one . 3.12.3.1 Example 6 - LZW encoding : The LZW encoding algorithm is explained below with an example to encode the string babacbabababcb . Table 3.12 LZW ...
... character ) of this new pattern is encoded as the first character of the next one . 3.12.3.1 Example 6 - LZW encoding : The LZW encoding algorithm is explained below with an example to encode the string babacbabababcb . Table 3.12 LZW ...
Page 148
... character by character in each and every location of the text . Starting at the beginning of the text string , we compare the characters of the pat- tern one after another with the corresponding characters in the text , until a mismatch ...
... character by character in each and every location of the text . Starting at the beginning of the text string , we compare the characters of the pat- tern one after another with the corresponding characters in the text , until a mismatch ...
Page 149
... character location 3 now . We can see that all the four consecutive characters ' b ' , ' a ' , ' b ' , and ' a ' in pattern p are now matched with the consecutive four character in the text starting in location 3 , and they are shown to ...
... character location 3 now . We can see that all the four consecutive characters ' b ' , ' a ' , ' b ' , and ' a ' in pattern p are now matched with the consecutive four character in the text starting in location 3 , and they are shown to ...
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