Data Mining: Multimedia, Soft Computing, and Bioinformatics
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From inside the book
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Page vii
... Data Compression 1.4 1 Introduction to Data Mining Introduction Knowledge Discovery and Data Mining Information Retrieval 1.5 Text Mining 1.6 Web Mining 1.7 Image Mining 1.8 Classification 1.9 Clustering 1.10 Rule Mining 1.11 String ...
... Data Compression 1.4 1 Introduction to Data Mining Introduction Knowledge Discovery and Data Mining Information Retrieval 1.5 Text Mining 1.6 Web Mining 1.7 Image Mining 1.8 Classification 1.9 Clustering 1.10 Rule Mining 1.11 String ...
Page viii
... Data Mining 72 2.7 Role of Wavelets in Data Mining 73 2.8 Role of Hybridizations in Data Mining 74 2.9 Conclusions and Discussion 77 References 78 3 Multimedia Data Compression 3.1 Introduction 3.2 3.3 Information Theory Concepts 3.2.1 ...
... Data Mining 72 2.7 Role of Wavelets in Data Mining 73 2.8 Role of Hybridizations in Data Mining 74 2.9 Conclusions and Discussion 77 References 78 3 Multimedia Data Compression 3.1 Introduction 3.2 3.3 Information Theory Concepts 3.2.1 ...
Page ix
... Data Compression 103 3.8 Principles of Still Image Compression 105 3.8.1 Predictive coding 105 3.8.2 Transform coding 3.8.3 Wavelet coding 3.9 Image Compression Standard : JPEG 3.10 The JPEG Lossless Coding Algorithm 3.11 Baseline JPEG ...
... Data Compression 103 3.8 Principles of Still Image Compression 105 3.8.1 Predictive coding 105 3.8.2 Transform coding 3.8.3 Wavelet coding 3.9 Image Compression Standard : JPEG 3.10 The JPEG Lossless Coding Algorithm 3.11 Baseline JPEG ...
Page xv
... data are available all around us . This information is often mixed ... data , even from geographically distant locations , easily accessible to users all over ... Compression technologies can play a significant role . It is also important ...
... data are available all around us . This information is often mixed ... data , even from geographically distant locations , easily accessible to users all over ... Compression technologies can play a significant role . It is also important ...
Page xvi
... 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 algo- rithms , and how all ...
... 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 algo- rithms , and how all ...
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