Data Mining: Multimedia, Soft Computing, and Bioinformatics
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Page xii
... Rules 267 7.1 Introduction 267 7.2 Candidate Generation and Test Methods 269 7.2.1 A priori algorithm 269 7.2.2 ... association rules 281 7.9.2 Temporal association rules 281 7.9.3 Correlation rules 282 7.9.4 Localized associations 282 ...
... Rules 267 7.1 Introduction 267 7.2 Candidate Generation and Test Methods 269 7.2.1 A priori algorithm 269 7.2.2 ... association rules 281 7.9.2 Temporal association rules 281 7.9.3 Correlation rules 282 7.9.4 Localized associations 282 ...
Page 278
... association rules , in compact form , from large itemsets with specific items in the antecedent or consequent . In most cases , the number of redundant rules is significantly larger than the number of ... ASSOCIATION RULES Generalized Rules.
... association rules , in compact form , from large itemsets with specific items in the antecedent or consequent . In most cases , the number of redundant rules is significantly larger than the number of ... ASSOCIATION RULES Generalized Rules.
Page 290
... rules , " IEEE Transactions on Knowledge and Data Engineering , vol . 13 , pp . 527-540 , 2001 . 12. R. Srikant and R. Agrawal , " Mining generalized association rules , " in Proceedings of 1995 International Conference on Very Large ...
... rules , " IEEE Transactions on Knowledge and Data Engineering , vol . 13 , pp . 527-540 , 2001 . 12. R. Srikant and R. Agrawal , " Mining generalized association rules , " in Proceedings of 1995 International Conference on Very Large ...
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