Data Mining: Multimedia, Soft Computing, and Bioinformatics
|
From inside the book
Results 1-3 of 72
Page 18
... attributes . There is one distinguished attribute called the dependent attribute . The remaining predictor attributes can be numerical or categorical in nature . A numerical attribute has continu- ous , quantitative values . A ...
... attributes . There is one distinguished attribute called the dependent attribute . The remaining predictor attributes can be numerical or categorical in nature . A numerical attribute has continu- ous , quantitative values . A ...
Page 64
... attributes . A combined distance metric takes care of different types of attributes simulta- neously , thus avoiding any taxonomic structure . Non - crisp values are handled by granularization followed by partitioning . Granular ...
... attributes . A combined distance metric takes care of different types of attributes simulta- neously , thus avoiding any taxonomic structure . Non - crisp values are handled by granularization followed by partitioning . Granular ...
Page 71
... attributes . GAs , on the other hand , are able to handle attribute interaction in a better manner . Xu et al . [ 100 ] have designed a multi - input single - output system using a nonlinear integral . An adaptive GA is used for ...
... attributes . GAs , on the other hand , are able to handle attribute interaction in a better manner . Xu et al . [ 100 ] have designed a multi - input single - output system using a nonlinear integral . An adaptive GA is used for ...
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