Data Mining: Multimedia, Soft Computing, and Bioinformatics
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Page 12
... Data compression offers advantages in the storage management of such huge data . Although data compression has been recognized as a potential area for data reduction in literature [ 13 ] , not much work has been reported so far on how the ...
... Data compression offers advantages in the storage management of such huge data . Although data compression has been recognized as a potential area for data reduction in literature [ 13 ] , not much work has been reported so far on how the ...
Page 90
... data in the com- pressed domain , it becomes essential to understand the principles behind cur- rent data compression techniques . Researchers can build on this knowledge to propose new data mining techniques in the compressed domain ...
... data in the com- pressed domain , it becomes essential to understand the principles behind cur- rent data compression techniques . Researchers can build on this knowledge to propose new data mining techniques in the compressed domain ...
Page 94
... COMPRESSION ALGORITHMS In an abstract sense , we can describe data compression as a method that takes an input data D and generates a shorter representation of the data c ( D ) with fewer number of bits compared to that of D. The ...
... COMPRESSION ALGORITHMS In an abstract sense , we can describe data compression as a method that takes an input data D and generates a shorter representation of the data c ( D ) with fewer number of bits compared to that of D. The ...
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