Data Mining: Multimedia, Soft Computing, and Bioinformatics
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From inside the book
Page xi
... Attributes 251 6.6.1 Sieving Through Iterated Relational Reinforcements ( STIRR ) 252 6.6.2 Robust Hierarchical Clustering with Links ( ROCK ) 252 6.6.3 c - modes algorithm 253 6.7 Hierarchical Symbolic Clustering 255 6.7.1 Conceptual ...
... Attributes 251 6.6.1 Sieving Through Iterated Relational Reinforcements ( STIRR ) 252 6.6.2 Robust Hierarchical Clustering with Links ( ROCK ) 252 6.6.3 c - modes algorithm 253 6.7 Hierarchical Symbolic Clustering 255 6.7.1 Conceptual ...
Page 8
... attributes . Dependency modeling corresponds to extracting significant dependencies among variables . 5. Summarization or condensation : This function provides a compact de- scription for a subset of data . Data compression may play a ...
... attributes . Dependency modeling corresponds to extracting significant dependencies among variables . 5. Summarization or condensation : This function provides a compact de- scription for a subset of data . Data compression may play a ...
Page 12
... attribute itself in a multimedia database could be a high - resolution digital image . Hence storage and subsequent access of thousands of high - resolution images , which are possibly interspersed with other datatypes as attributes ...
... attribute itself in a multimedia database could be a high - resolution digital image . Hence storage and subsequent access of thousands of high - resolution images , which are possibly interspersed with other datatypes as attributes ...
Page 18
... attributes . There is one distinguished attribute called the dependent attribute . The remaining predictor attributes can be numerical or categorical in nature . A numerical attribute has continu- ous , quantitative values . A ...
... attributes . There is one distinguished attribute called the dependent attribute . The remaining predictor attributes can be numerical or categorical in nature . A numerical attribute has continu- ous , quantitative values . A ...
Page 19
... attributes are known but the dependent attribute is to be determined . Classification methods can be categorized as follows . 1. Decision trees [ 36 ] , which divide a decision space into piecewise constant regions . Typically , an ...
... attributes are known but the dependent attribute is to be determined . Classification methods can be categorized as follows . 1. Decision trees [ 36 ] , which divide a decision space into piecewise constant regions . Typically , an ...
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