Data Mining: Multimedia, Soft Computing, and Bioinformatics
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... distance 173 4.4.3 Text search with k - differences 176 4.5 Compressed Pattern Matching 177 4.6 Conclusions and Discussion References 5 Classification in Data Mining Introduction 179 179 181 5.1 181 5.2 Decision Tree Classifiers 184 5.2 ...
... distance 173 4.4.3 Text search with k - differences 176 4.5 Compressed Pattern Matching 177 4.6 Conclusions and Discussion References 5 Classification in Data Mining Introduction 179 179 181 5.1 181 5.2 Decision Tree Classifiers 184 5.2 ...
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... Distance Measures and Symbolic Objects 229 6.2.1 Numeric objects 229 6.2.2 Binary objects 229 6.2.3 Categorical objects 231 6.2.4 Symbolic objects 231 6.3.1 6.3 Clustering Categories Partitional clustering 232 232 6.3.2 Hierarchical ...
... Distance Measures and Symbolic Objects 229 6.2.1 Numeric objects 229 6.2.2 Binary objects 229 6.2.3 Categorical objects 231 6.2.4 Symbolic objects 231 6.3.1 6.3 Clustering Categories Partitional clustering 232 232 6.3.2 Hierarchical ...
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... distance from in- stances or prototypes [ 35 ] . 4. Regression , which can be linear or polynomial , of the form ax1 + bx2 + c = C1 [ 37 ] . 5. Neural networks [ 38 ] , which partition by nonlinear boundaries . These incorporate ...
... distance from in- stances or prototypes [ 35 ] . 4. Regression , which can be linear or polynomial , of the form ax1 + bx2 + c = C1 [ 37 ] . 5. Neural networks [ 38 ] , which partition by nonlinear boundaries . These incorporate ...
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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