Data Mining: Multimedia, Soft Computing, and Bioinformatics
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Page ix
... Algorithm 3.11 Baseline JPEG Compression 3.11.1 Color space conversion 107 109 112 113 116 116 3.11.2 Source image data arrangement 118 3.11.3 The baseline compression algorithm 119 3.11.4 Decompression process in baseline JPEG 126 3.11 ...
... Algorithm 3.11 Baseline JPEG Compression 3.11.1 Color space conversion 107 109 112 113 116 116 3.11.2 Source image data arrangement 118 3.11.3 The baseline compression algorithm 119 3.11.4 Decompression process in baseline JPEG 126 3.11 ...
Page x
... algorithm 161 4.2.5 Karp - Rabin algorithm 165 4.3 String Matching in Bioinformatics 169 4.4 Approximate String Matching 171 4.4.1 Basic definitions 172 4.4.2 Wagner - Fischer algorithm for computation of string distance 173 4.4.3 Text ...
... algorithm 161 4.2.5 Karp - Rabin algorithm 165 4.3 String Matching in Bioinformatics 169 4.4 Approximate String Matching 171 4.4.1 Basic definitions 172 4.4.2 Wagner - Fischer algorithm for computation of string distance 173 4.4.3 Text ...
Page xii
... algorithm 269 7.2.2 Partition algorithm 272 7.2.3 Some extensions 272 7.3 Depth - First Search Methods 273 7.4 Interesting Rules 275 7.5 Multilevel Rules 276 7.6 Online Generation of Rules 277 7.7 Generalized Rules 278 7.8 Scalable ...
... algorithm 269 7.2.2 Partition algorithm 272 7.2.3 Some extensions 272 7.3 Depth - First Search Methods 273 7.4 Interesting Rules 275 7.5 Multilevel Rules 276 7.6 Online Generation of Rules 277 7.7 Generalized Rules 278 7.8 Scalable ...
Page 8
... algorithm : The specification of an algorithm for finding par- ticular models or patterns and parameters , given the data , model ( s ) , and a preference criterion . A particular data mining algorithm is usually an instantiation of the ...
... algorithm : The specification of an algorithm for finding par- ticular models or patterns and parameters , given the data , model ( s ) , and a preference criterion . A particular data mining algorithm is usually an instantiation of the ...
Page 9
... algorithms to process this data , ( v ) advancement of computer architecture and falling cost of com- putational power ... algorithm : improving computational complexity , opti- mizing the search and representation , finding approximate ...
... algorithms to process this data , ( v ) advancement of computer architecture and falling cost of com- putational power ... algorithm : improving computational complexity , opti- mizing the search and representation , finding approximate ...
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