Data Mining: Multimedia, Soft Computing, and Bioinformatics
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Page xii
Multimedia, Soft Computing, and Bioinformatics Sushmita Mitra, Tinku Acharya. 6.8 Conclusions and Discussion References 261 262 7 Association Rules 267 7.1 Introduction 267 ... Multimedia Data Mining 9.1 Introduction 315 319 319 xii CONTENTS.
Multimedia, Soft Computing, and Bioinformatics Sushmita Mitra, Tinku Acharya. 6.8 Conclusions and Discussion References 261 262 7 Association Rules 267 7.1 Introduction 267 ... Multimedia Data Mining 9.1 Introduction 315 319 319 xii CONTENTS.
Page xiii
Multimedia, Soft Computing, and Bioinformatics Sushmita Mitra, Tinku Acharya. References 9 Multimedia Data Mining 9.1 Introduction 315 319 319 9.2 Text Mining 320 9.2.1 Keyword - based search and mining 321 9.2.2 Text analysis and ...
Multimedia, Soft Computing, and Bioinformatics Sushmita Mitra, Tinku Acharya. References 9 Multimedia Data Mining 9.1 Introduction 315 319 319 9.2 Text Mining 320 9.2.1 Keyword - based search and mining 321 9.2.2 Text analysis and ...
Page xv
Multimedia, Soft Computing, and Bioinformatics Sushmita Mitra, Tinku Acharya. Preface The success of the digital revolution and the growth of the Internet have ensured that huge volumes of ... multimedia data compression techniques XV ...
Multimedia, Soft Computing, and Bioinformatics Sushmita Mitra, Tinku Acharya. Preface The success of the digital revolution and the growth of the Internet have ensured that huge volumes of ... multimedia data compression techniques XV ...
Page xvi
Multimedia, Soft Computing, and Bioinformatics Sushmita Mitra, Tinku Acharya. It is also important that special multimedia data compression techniques are explored especially suitable for data mining applications . With the completion of ...
Multimedia, Soft Computing, and Bioinformatics Sushmita Mitra, Tinku Acharya. It is also important that special multimedia data compression techniques are explored especially suitable for data mining applications . With the completion of ...
Page xvii
... multimedia data compression and some popular algorithms for data compression . We discuss the principles of string matching and some classical algorithms in Chapter 4. Results of string matching hold ample promise both in multimedia ...
... multimedia data compression and some popular algorithms for data compression . We discuss the principles of string matching and some classical algorithms in Chapter 4. Results of string matching hold ample promise both in multimedia ...
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