Compression Schemes for Mining Large Datasets: A Machine Learning Perspective

Author:   T. Ravindra Babu ,  M. Narasimha Murty ,  S.V. Subrahmanya
Publisher:   Springer London Ltd
Edition:   2013 ed.
ISBN:  

9781447156062


Pages:   197
Publication Date:   04 December 2013
Format:   Hardback
Availability:   Manufactured on demand   Availability explained
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Compression Schemes for Mining Large Datasets: A Machine Learning Perspective


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Author:   T. Ravindra Babu ,  M. Narasimha Murty ,  S.V. Subrahmanya
Publisher:   Springer London Ltd
Imprint:   Springer London Ltd
Edition:   2013 ed.
Dimensions:   Width: 15.50cm , Height: 1.40cm , Length: 23.50cm
Weight:   0.505kg
ISBN:  

9781447156062


ISBN 10:   1447156064
Pages:   197
Publication Date:   04 December 2013
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Table of Contents

Introduction.- Data Mining Paradigms.- Run-Length Encoded Compression Scheme.- Dimensionality Reduction by Subsequence Pruning.- Data Compaction through Simultaneous Selection of Prototypes and Features.- Domain Knowledge-Based Compaction.- Optimal Dimensionality Reduction.- Big Data Abstraction through Multiagent Systems.- Intrusion Detection Dataset: Binary Representation.

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Author Information

Dr. T. Ravindra Babu is a Principal Researcher in the E-Commerce Research Labs at Infosys Ltd., Bangalore, India. Mr. S.V. Subrahmanya is Vice President and Research Fellow at the same organization. Dr. M. Narasimha Murty is a Professor in the Department of Computer Science and Automation at the Indian Institute of Science, Bangalore, India.

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