Data Mining: Multimedia, Soft Computing, and Bioinformatics
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Page viii
... Wavelets 2.3 Role of Fuzzy Sets in Data Mining 55 59 61 62 2.3.1 Clustering 63 2.3.2 Granular computing 63 2.3.3 Association rules 64 2.3.4 Functional dependencies 65 2.3.5 Data summarization 65 2.3.6 Image mining 66 2.4 Role of Neural ...
... Wavelets 2.3 Role of Fuzzy Sets in Data Mining 55 59 61 62 2.3.1 Clustering 63 2.3.2 Granular computing 63 2.3.3 Association rules 64 2.3.4 Functional dependencies 65 2.3.5 Data summarization 65 2.3.6 Image mining 66 2.4 Role of Neural ...
Page ix
... Wavelet coding 3.9 Image Compression Standard : JPEG 3.10 The JPEG Lossless Coding Algorithm 3.11 Baseline JPEG Compression 3.11.1 Color space conversion 107 109 112 113 116 116 3.11.2 Source image data arrangement 118 3.11.3 The ...
... Wavelet coding 3.9 Image Compression Standard : JPEG 3.10 The JPEG Lossless Coding Algorithm 3.11 Baseline JPEG Compression 3.11.1 Color space conversion 107 109 112 113 116 116 3.11.2 Source image data arrangement 118 3.11.3 The ...
Page xi
... Wavelets 248 6.5.4 Rough sets 249 6.5.5 Evolutionary algorithms 250 6.6 Clustering with Categorical Attributes 251 6.6.1 Sieving Through Iterated Relational Reinforcements ( STIRR ) 252 6.6.2 Robust Hierarchical Clustering with Links ...
... Wavelets 248 6.5.4 Rough sets 249 6.5.5 Evolutionary algorithms 250 6.6 Clustering with Categorical Attributes 251 6.6.1 Sieving Through Iterated Relational Reinforcements ( STIRR ) 252 6.6.2 Robust Hierarchical Clustering with Links ...
Page xvi
... Wavelet Transformation , data compression principles for both lossless and lossy tech- niques , access of data using matching pursuits in both raw and compressed data domains , fundamentals and principles of classical string matching ...
... Wavelet Transformation , data compression principles for both lossless and lossy tech- niques , access of data using matching pursuits in both raw and compressed data domains , fundamentals and principles of classical string matching ...
Page 36
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Contents
1 | |
2 Soft Computing | 35 |
3 Multimedia Data Compression | 89 |
4 String Matching | 143 |
5 Classification in Data Mining | 181 |
6 Clustering in Data Mining | 227 |
7 Association Rules | 267 |
8 Rule Mining with Soft Computing | 293 |
9 Multimedia Data Mining | 319 |
An Application | 365 |
Index | 392 |
About the Authors | 399 |
Other editions - View all
Data Mining: Multimedia, Soft Computing, and Bioinformatics Sushmita Mitra,Tinku Acharya No preview available - 2005 |
Common terms and phrases
analysis applications association rules attributes binary Bioinformatics bits categorical character chromosome classification coding coefficients color components content-based image retrieval corresponding data compression data mining dataset decision tree decoder defined dictionary distance document domain encoded entropy entropy encoding evaluation example extracted feature frequent itemsets fuzzy sets genetic algorithms Hence Huffman code IEEE 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 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 Transactions on Neural transformed vector visual wavelet Web mining weights