Compression Schemes for Mining Large Datasets
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Published By Springer London

9781447156062, 9781447156079
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Domain Knowledge-Based Compaction

2013 ◽  
pp. 125-145
Author(s):  
T. Ravindra Babu ◽  
M. Narasimha Murty ◽  
S. V. Subrahmanya
Keyword(s):  
Domain Knowledge ◽  
Knowledge Based

Data Compaction Through Simultaneous Selection of Prototypes and Features

2013 ◽  
pp. 95-124
Author(s):  
T. Ravindra Babu ◽  
M. Narasimha Murty ◽  
S. V. Subrahmanya
Keyword(s):  
Data Compaction ◽  
Simultaneous Selection ◽  
Selection Of

Introduction

2013 ◽  
pp. 1-10 ◽  
Author(s):  
T. Ravindra Babu ◽  
M. Narasimha Murty ◽  
S. V. Subrahmanya

Run-Length-Encoded Compression Scheme

2013 ◽  
pp. 47-66
Author(s):  
T. Ravindra Babu ◽  
M. Narasimha Murty ◽  
S. V. Subrahmanya
Keyword(s):  
Compression Scheme ◽  
Run Length

Big Data Abstraction Through Multiagent Systems

2013 ◽  
pp. 173-183 ◽  
Author(s):  
T. Ravindra Babu ◽  
M. Narasimha Murty ◽  
S. V. Subrahmanya
Keyword(s):  
Big Data ◽  
Multiagent Systems ◽  
Data Abstraction

Dimensionality Reduction by Subsequence Pruning

2013 ◽  
pp. 67-94
Author(s):  
T. Ravindra Babu ◽  
M. Narasimha Murty ◽  
S. V. Subrahmanya
Keyword(s):  
Dimensionality Reduction

Data Mining Paradigms

2013 ◽  
pp. 11-46
Author(s):  
T. Ravindra Babu ◽  
M. Narasimha Murty ◽  
S. V. Subrahmanya
Keyword(s):  
Data Mining

Optimal Dimensionality Reduction

2013 ◽  
pp. 147-172
Author(s):  
T. Ravindra Babu ◽  
M. Narasimha Murty ◽  
S. V. Subrahmanya
Keyword(s):  
Dimensionality Reduction
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