Data Mining: Multimedia, Soft Computing, and Bioinformatics
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Page 155
... initial Next table as shown in Fig . 4.6 . If there is a mismatch between a text character t , and pattern symbol p7 ... initial value of Next ( 5 ) is 1. However , P5 = P1 = ' a ' , and hence we replace the initial value of Next ( 5 ) ...
... initial Next table as shown in Fig . 4.6 . If there is a mismatch between a text character t , and pattern symbol p7 ... initial value of Next ( 5 ) is 1. However , P5 = P1 = ' a ' , and hence we replace the initial value of Next ( 5 ) ...
Page 190
... initial attribute lists for the root node are given in Tables 5.3 and 5.4 corresponding to attributes age and car type , respectively . Table 5.3 Initial numeric attribute list for root node age risk RID 17 high 1 20 high 5 23 high 0 32 ...
... initial attribute lists for the root node are given in Tables 5.3 and 5.4 corresponding to attributes age and car type , respectively . Table 5.3 Initial numeric attribute list for root node age risk RID 17 high 1 20 high 5 23 high 0 32 ...
Page 234
... Initial hierarchical clustering , followed by iterative relocation of patterns to the clusters . 2. ISODATA [ 3 ] employs splitting and merging operations on clusters , splitting if the sample variance in a cluster is more than a ...
... Initial hierarchical clustering , followed by iterative relocation of patterns to the clusters . 2. ISODATA [ 3 ] employs splitting and merging operations on clusters , splitting if the sample variance in a cluster is more than a ...
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