Data Mining: Multimedia, Soft Computing, and BioinformaticsWhile the digital revolution has made huge volumes of high dimensional multimedia data available, it has also challenged users to extract the information they seek from heretofore unthinkably huge datasets. Traditional hard computing data mining techniques have concentrated on flat-file applications. Soft computing tools - such as fuzzy sets, artificial neural networks, genetic algorithms and rough sets - however, offer the opportunity to apply a wide range of data types to a variety of vital functions by handling real-life uncertainty with low-cost solutions. "Data Mining: Multimedia, Soft Computing, and Bioinformatics" provides an accessible introduction to fundamental and advanced data mining technologies. |
From inside the book
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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 | 35 |
Multimedia Data Compression | 89 |
standard | 129 |
Copyright | |
8 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 attributes binary Bioinformatics bits C₁ categorical character chromosome classification coding coefficients color components content-based image retrieval corresponding data compression data mining database dataset datatypes decision tree decoder defined dictionary distance document domain encoded entropy entropy encoding evaluation example extracted feature frequent itemsets fuzzy sets gene Hence Huffman code IEEE Transactions image retrieval initial input interaction involving JPEG knowledge discovery learning linguistic matrix measure method Mitra multimedia data neural networks neuro-fuzzy neurons node objects optimal output parameters partition pattern matching pixel prediction problem protein quantization query representation represented result rough set S. K. Pal sample Section sequence shown in Fig soft computing spatial statistical string matching structure subbands subnetworks subsets substring symbol Table techniques text mining transformed vector visual wavelet Web mining weights