Data Mining: Multimedia, Soft Computing, and Bioinformatics
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Page 11
... techniques can be classified as lossless and lossy . In lossless methods we compress the data in such a way that the decompressed data can be an exact replica of the original data . Lossless compression techniques are applied to ...
... techniques can be classified as lossless and lossy . In lossless methods we compress the data in such a way that the decompressed data can be an exact replica of the original data . Lossless compression techniques are applied to ...
Page 90
... techniques . Researchers can build on this knowledge to propose new data mining techniques in the compressed domain , thereby influencing future multimedia applications through mining . The main advantage of compression is that it ...
... techniques . Researchers can build on this knowledge to propose new data mining techniques in the compressed domain , thereby influencing future multimedia applications through mining . The main advantage of compression is that it ...
Page 321
... techniques from many multidisciplinary scientific fields . in order to gain insight , understand and interpret , and automatically extract information from large quantities of text data available in text databases dis- tributed ...
... techniques from many multidisciplinary scientific fields . in order to gain insight , understand and interpret , and automatically extract information from large quantities of text data available in text databases dis- tributed ...
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