Data Mining: Multimedia, Soft Computing, and Bioinformatics
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From inside the book
Page xiii
... Image Mining 9.3.1 Content - Based Image Retrieval 9.3.2 Color features 9.3.3 Texture features 9.3.4 Shape features 328 329 330 332 337 338 9.3.5 Topology 340 9.3.6 Multidimensional indexing 342 9.3.7 Results of a simple CBIR system 343 ...
... Image Mining 9.3.1 Content - Based Image Retrieval 9.3.2 Color features 9.3.3 Texture features 9.3.4 Shape features 328 329 330 332 337 338 9.3.5 Topology 340 9.3.6 Multidimensional indexing 342 9.3.7 Results of a simple CBIR system 343 ...
Page xvi
... image compression , string matching , content based image retrieval , etc. , which can influence future developments in data mining , particularly for multimedia data mining . There are 10 chapters in the book . The first chapter ...
... image compression , string matching , content based image retrieval , etc. , which can influence future developments in data mining , particularly for multimedia data mining . There are 10 chapters in the book . The first chapter ...
Page xvii
... based on soft computing and advanced signal processing techniques with recent developments . We deal with multimedia data mining in Chapter 9. In this chapter we have discussed text mining , image ... retrieval , and artificial intelli- gence ...
... based on soft computing and advanced signal processing techniques with recent developments . We deal with multimedia data mining in Chapter 9. In this chapter we have discussed text mining , image ... retrieval , and artificial intelli- gence ...
Page xviii
... content - based image retrieval in a very short notice . Prof. Malay K. Kundu , Prof. Chaitali Chakraborti , Dr. Andrew J. Griffis , Dr. Dragos Arotaritei , Dr. Rajat K. De , Dr. Pabitra Mi- tra , Mr. Roger Undhagen , and Mr. Jose M ...
... content - based image retrieval in a very short notice . Prof. Malay K. Kundu , Prof. Chaitali Chakraborti , Dr. Andrew J. Griffis , Dr. Dragos Arotaritei , Dr. Rajat K. De , Dr. Pabitra Mi- tra , Mr. Roger Undhagen , and Mr. Jose M ...
Page 13
... image mining . Information re- trieval automatically entails some amount of summarization or compression , along with retrieval based on content . Given a user query , the information system has to retrieve the documents which are ...
... image mining . Information re- trieval automatically entails some amount of summarization or compression , along with retrieval based on content . Given a user query , the information system has to retrieve the documents which are ...
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