Data Mining: Multimedia, Soft Computing, and Bioinformatics
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Page vii
... Clustering 1.10 Rule Mining 1.11 String Matching 1.12 Bioinformatics 1.13 Data Warehousing 1.14 Applications and Challenges 1.15 Conclusions and Discussion References Contents XV 1 1 5 10 12 14 15 16 18 19 20 21 23 24 25 28 30 vii Contents.
... Clustering 1.10 Rule Mining 1.11 String Matching 1.12 Bioinformatics 1.13 Data Warehousing 1.14 Applications and Challenges 1.15 Conclusions and Discussion References Contents XV 1 1 5 10 12 14 15 16 18 19 20 21 23 24 25 28 30 vii Contents.
Page viii
... 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 Networks in Data Mining 67 2.4.1 Rule extraction 67 2.4.2 Rule ...
... 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 Networks in Data Mining 67 2.4.1 Rule extraction 67 2.4.2 Rule ...
Page xi
... Clustering Categories Partitional clustering 232 232 6.3.2 Hierarchical clustering 235 6.3.3 Leader clustering 237 6.4 Scalable Clustering Algorithms 237 6.4.1 Clustering large applications 238 6.4.2 Density - based clustering 239 6.4.3 ...
... Clustering Categories Partitional clustering 232 232 6.3.2 Hierarchical clustering 235 6.3.3 Leader clustering 237 6.4 Scalable Clustering Algorithms 237 6.4.1 Clustering large applications 238 6.4.2 Density - based clustering 239 6.4.3 ...
Page xiv
... Clustering of Microarray Data 374 374 378 10.4.1 First - generation algorithms 379 10.4.2 Second - generation algorithms 380 10.5 Association Rules 381 10.6 Role of Soft Computing 381 10.6.1 Predicting protein secondary structure 382 ...
... Clustering of Microarray Data 374 374 378 10.4.1 First - generation algorithms 379 10.4.2 Second - generation algorithms 380 10.5 Association Rules 381 10.6 Role of Soft Computing 381 10.6.1 Predicting protein secondary structure 382 ...
Page xvii
... clustering , and rule mining . In each of these topics , in addition to the classical discussions that are usually available in the books currently in the market , we strive to incorporate new al- gorithms and results based on soft ...
... clustering , and rule mining . In each of these topics , in addition to the classical discussions that are usually available in the books currently in the market , we strive to incorporate new al- gorithms and results based on soft ...
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