Data Mining: Multimedia, Soft Computing, and Bioinformatics
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Page 2
... transforming theme in the global society . As an example , a report on the United States Administrations initiative in the " Information Technology for 21st Century " [ 5 ] indicated im- proved Internet and multimedia applications in ...
... transforming theme in the global society . As an example , a report on the United States Administrations initiative in the " Information Technology for 21st Century " [ 5 ] indicated im- proved Internet and multimedia applications in ...
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... human machine interaction . Ef- ficient storage of the data , and hence its structure , is very important for its Data Warehouse Data Raw Selection Data Preprocessing Transformed Data Mining 4 INTRODUCTION TO DATA MINING.
... human machine interaction . Ef- ficient storage of the data , and hence its structure , is very important for its Data Warehouse Data Raw Selection Data Preprocessing Transformed Data Mining 4 INTRODUCTION TO DATA MINING.
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... Transformed Data Mining Patterns Evaluation Interpretation Knowledge Fig . 1.1 The KDD process . representation and access . Knowledge from modern data compression tech- nologies should be utilized to explore how this storage mechanism ...
... Transformed Data Mining Patterns Evaluation Interpretation Knowledge Fig . 1.1 The KDD process . representation and access . Knowledge from modern data compression tech- nologies should be utilized to explore how this storage mechanism ...
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... transformed from the operational environment . Op- erational update of data does not occur in the data warehouse environment . It does not require transaction processing , recovery , and 24 INTRODUCTION TO DATA MINING 1.13 Data Warehousing.
... transformed from the operational environment . Op- erational update of data does not occur in the data warehouse environment . It does not require transaction processing , recovery , and 24 INTRODUCTION TO DATA MINING 1.13 Data Warehousing.
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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