Data Mining: Multimedia, Soft Computing, and Bioinformatics
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Page 207
... partitions ( with range [ 0 , 1 ] ) using only two parameters P1 and Pj2 as depicted in Fig . 5.6 . Features in ... partition values are the values of a variate which divide the total frequency into a number of equal parts . low 1.0 ...
... partitions ( with range [ 0 , 1 ] ) using only two parameters P1 and Pj2 as depicted in Fig . 5.6 . Features in ... partition values are the values of a variate which divide the total frequency into a number of equal parts . low 1.0 ...
Page 255
... partition . Probabilistic measures , to evaluate the goodness of the partitioning , are expressed as [ 13 ] and Mdk = Σ ( P ( ai = Vij | Ux ) 2 − P ( ai = Vij ) 2 ) i , jE { ai } d ( 6.23 ) Var ( U ( k ) , U ( 1 ) ) = = ΣΣ ( P ( a ...
... partition . Probabilistic measures , to evaluate the goodness of the partitioning , are expressed as [ 13 ] and Mdk = Σ ( P ( ai = Vij | Ux ) 2 − P ( ai = Vij ) 2 ) i , jE { ai } d ( 6.23 ) Var ( U ( k ) , U ( 1 ) ) = = ΣΣ ( P ( a ...
Page 272
... Partition algorithm The main characteristics of the partition algorithm [ 3 ] are given below . • Logically divide the horizontal database into a number of nonoverlap- ping partitions , which can be accommodated in main memory . • Each ...
... Partition algorithm The main characteristics of the partition algorithm [ 3 ] are given below . • Logically divide the horizontal database into a number of nonoverlap- ping partitions , which can be accommodated in main memory . • Each ...
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