Data Mining: Multimedia, Soft Computing, and Bioinformatics
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From inside the book
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Page 5
... clustering , and rule mining . String match- ing , another important aspect of data mining with promising applications to Bioinformatics , is described in Section 1.11 . An introduction to the research issues in Bioinformatics is ...
... clustering , and rule mining . String match- ing , another important aspect of data mining with promising applications to Bioinformatics , is described in Section 1.11 . An introduction to the research issues in Bioinformatics is ...
Page 6
... clustering , summarization , image retrieval , discovering association rules and functional dependen- cies , rule extraction , etc. 5. Interpretation : This includes interpreting the discovered patterns , as well as the possible ( low ...
... clustering , summarization , image retrieval , discovering association rules and functional dependen- cies , rule extraction , etc. 5. Interpretation : This includes interpreting the discovered patterns , as well as the possible ( low ...
Page 8
... Clustering : This function maps a data item into one of several clusters , where clusters are natural groupings of data items based on similarity metrics or probability density models . 4. Rule generation : Here one mines or generates ...
... Clustering : This function maps a data item into one of several clusters , where clusters are natural groupings of data items based on similarity metrics or probability density models . 4. Rule generation : Here one mines or generates ...
Page 16
... clustering and association rule mining . Analysis corresponds to the extraction , interpretation , validation , and visualization of the knowledge obtained from the Web . Different aspects of Web mining have been discussed in Section ...
... clustering and association rule mining . Analysis corresponds to the extraction , interpretation , validation , and visualization of the knowledge obtained from the Web . Different aspects of Web mining have been discussed in Section ...
Page 17
... clustering , and association rule min- ing . Intelligently classifying an image by its content is an important way to mine valuable information from a large image collection [ 34 ] . Since the storage and communication bandwidth ...
... clustering , and association rule min- ing . Intelligently classifying an image by its content is an important way to mine valuable information from a large image collection [ 34 ] . Since the storage and communication bandwidth ...
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