Data Mining: Multimedia, Soft Computing, and Bioinformatics
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Page 5
... Section 1.2 . Sections 1.3-1.7 deal with brief introductions to data compression , information retrieval , text ... Section 1.11 . An introduction to the research issues in Bioinformatics is provided in Section 1.12 . The details on all ...
... Section 1.2 . Sections 1.3-1.7 deal with brief introductions to data compression , information retrieval , text ... Section 1.11 . An introduction to the research issues in Bioinformatics is provided in Section 1.12 . The details on all ...
Page 269
... Section 7.4 . In Sections 7.5-7.8 we describe multilevel rules , online generation of rules , generalized rules , and scalable mining of rules , respectively . Section 7.9 deals with some other variants of association rule mining ...
... Section 7.4 . In Sections 7.5-7.8 we describe multilevel rules , online generation of rules , generalized rules , and scalable mining of rules , respectively . Section 7.9 deals with some other variants of association rule mining ...
Page 367
... Section 10.4 . Mining of association rules in Bioinformatics is described in Section 10.5 . The role of soft computing is highlighted in Section 10.6 . Finally , Section 10.7 concludes the chapter . 10.2 PRELIMINARIES FROM BIOLOGY ...
... Section 10.4 . Mining of association rules in Bioinformatics is described in Section 10.5 . The role of soft computing is highlighted in Section 10.6 . Finally , Section 10.7 concludes the chapter . 10.2 PRELIMINARIES FROM BIOLOGY ...
Contents
Soft Computing | 37 |
Multimedia Data Compression | 89 |
standard | 129 |
Copyright | |
9 other sections not shown
Other editions - View all
Data Mining: Multimedia, Soft Computing, and Bioinformatics Sushmita Mitra,Tinku Acharya Limited preview - 2005 |
Data Mining: Multimedia, Soft Computing, and Bioinformatics Sushmita Mitra,Tinku Acharya No preview available - 2005 |
Common terms and phrases
applications approach association rules ATATA binary Bioinformatics Boyer-Moore algorithm C₁ categorical classification clustering coding coefficients color components computational complexity content-based image retrieval corresponding data compression data mining database dataset decision tree decoder defined dictionary distance document domain efficient encoder outputs entropy entropy encoding evaluation example extracted feature fuzzy sets gene Hence Huffman code IEEE Transactions image retrieval initial input integer involving JPEG Karp-Rabin knowledge discovery knowledge-based network learning length linguistic matching algorithms matrix measure method mismatch Mitra multimedia data neural networks neuro-fuzzy neurons objects occurrence optimal partition pattern matching pixel prediction prefix protein pruning quantization query represented result rough set sample Section sequence shown in Fig soft computing split statistical string matching structure substring suffix symbol Table techniques text mining transformed vector wavelet Web mining weights