Data Mining: Multimedia, Soft Computing, and Bioinformatics
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Page 144
... string matching . Classical linear order string matching algorithms are described in Section 4.2 . The use of string matching in Bioinformatics is highlighted in Section 4.3 . Issues in approximate string matching are dealt with in Sec ...
... string matching . Classical linear order string matching algorithms are described in Section 4.2 . The use of string matching in Bioinformatics is highlighted in Section 4.3 . Issues in approximate string matching are dealt with in Sec ...
Page 146
... String matching problem String matching essentially is the technique of finding the occurrence of a particular string , called a pattern , in another string called the text . The String matching problem can be formulated as follows ...
... String matching problem String matching essentially is the technique of finding the occurrence of a particular string , called a pattern , in another string called the text . The String matching problem can be formulated as follows ...
Page 150
... STRING MATCHING ALGORITHMS String matching algorithms with linear - order computational complexity are very useful in many practical text ... STRING MATCHING Linear-Order String Matching Algorithms String matching with finite automata.
... STRING MATCHING ALGORITHMS String matching algorithms with linear - order computational complexity are very useful in many practical text ... STRING MATCHING Linear-Order String Matching Algorithms String matching with finite automata.
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