Track My Order
Help Centre
1300 187 187
Likes
My Wish ListsLogin / Join
Booktopia
Australia's local bookstore
Compression Schemes for Mining Large Datasets : A Machine Learning Perspective - T. Ravindra Babu

Compression Schemes for Mining Large Datasets

A Machine Learning Perspective

By: T. Ravindra Babu, M. Narasimha Murty, S. V. Subrahmanya

Hardcover | 4 December 2013

At a Glance

Hardcover

$101.07

or 4 interest-free payments of $25.27 with

 or 

Aims to ship in 7 to 10 business days

This book addresses the challenges of data abstraction generation using a least number of database scans, compressing data through novel lossy and non-lossy schemes, and carrying out clustering and classification directly in the compressed domain. Schemes are presented which are shown to be efficient both in terms of space and time, while simultaneously providing the same or better classification accuracy. Features: describes a non-lossy compression scheme based on run-length encoding of patterns with binary valued features; proposes a lossy compression scheme that recognizes a pattern as a sequence of features and identifying subsequences; examines whether the identification of prototypes and features can be achieved simultaneously through lossy compression and efficient clustering; discusses ways to make use of domain knowledge in generating abstraction; reviews optimal prototype selection using genetic algorithms; suggests possible ways of dealing with big data problems using multiagent systems.

You Can Find This Book In

Non-FictionComputing & I.T.DatabasesData MiningComputer ScienceArtificial IntelligencePattern RecognitionComputer VisionMathematicsProbability & Statistics

More in Computer Vision

Artificial Intelligence For Dummies : 2nd edition - John Paul Mueller

Artificial Intelligence For Dummies

2nd edition

Paperback

RRP $60.95

$37.50

38%
OFF
Implementing MLOps in the Enterprise : A Production-First Approach - Yaron Haviv

Implementing MLOps in the Enterprise

A Production-First Approach

Paperback

RRP $152.00

$66.25

56%
OFF

This product is categorised by