Data Mining: Multimedia, Soft Computing, and Bioinformatics

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Page 8
A model contains parameters that are to be determined from data for the chosen
function using the particular representational form or tool. 0 The preference
criterion: A basis for preference of one model or set of parameters over another, ...
A model contains parameters that are to be determined from data for the chosen
function using the particular representational form or tool. 0 The preference
criterion: A basis for preference of one model or set of parameters over another, ...
Page 41
Assignment of membership functions of a fuzzy subset is subjective in nature and
reflects the context in which the problem is viewed. It cannot be assigned
arbitrarily. In many cases, it is convenient to express the membership function of
a ...
Assignment of membership functions of a fuzzy subset is subjective in nature and
reflects the context in which the problem is viewed. It cannot be assigned
arbitrarily. In many cases, it is convenient to express the membership function of
a ...
Page 42
2.1 Standard S function. 2.2.2.1 Membership functions It is frequently convenient
to employ standardized functions with adjustable parameters (e.g., the S and 1r
functions) which are defined in the following equations (see also Fig. 2.1): 5(1'; 0
...
2.1 Standard S function. 2.2.2.1 Membership functions It is frequently convenient
to employ standardized functions with adjustable parameters (e.g., the S and 1r
functions) which are defined in the following equations (see also Fig. 2.1): 5(1'; 0
...
Page 52
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Contents
1  
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
algorithm analysis applications artiﬁcial association rules attributes binary Bioinformatics categorical character classiﬁcation clustering coding coefficients color components conﬁdence contentbased image retrieval corresponding data compression data mining dataset decision tree decoder deﬁned dictionary distance document domain encoded entropy example extracted feature ﬁle ﬁlter ﬁnd ﬁnite ﬁrst frequent itemsets function fuzzy sets genetic algorithms Hence Huffman code IEEE IEEE Transactions image retrieval initial input involving JPEG knowledge discovery knowledgebased learning linguistic matrix measure method Mitra multimedia data neural networks neurofuzzy neurons node objects optimal output parameters partition pattern matching pixel prediction preﬁx problem proﬁles protein quantization query represented rough sets S. K. Pal sample Section sequence shown in Fig signiﬁcant soft computing speciﬁc string matching structure subbands subnetworks substring symbol Table techniques text mining Transactions on Neural transformed vector wavelet Web mining weights