Compression schemes for mining large datasets : a machine learning perspective /
As data mining algorithms are typically applied to sizable volumes of high-dimensional data, these can result in large storage requirements and inefficient computation times. This unique text/reference addresses the challenges of data abstraction generation using a least number of database scans, co...
Saved in:
Main Authors: | Ravindra Babu, T. (Author), Narasimha Murty, M. (Author), Subrahmanya, S.V (Author) |
---|---|
Corporate Author: | SpringerLink (Online service) |
Format: | eBook |
Language: | English |
Published: |
London
Springer London Imprint: Springer,
2013.
|
Series: | Advances in Computer Vision and Pattern Recognition,
|
Subjects: | |
Online Access: | Click here to view the full text content |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Fundamentals of the new artificial intelligence : neural, evolutionary, fuzzy and more /
Published: (2007) -
Mining of massive datasets /
by: Rajaraman, Anand
Published: (2012) -
Frequent pattern mining /
Published: (2014) -
Data mining a knowledge discovery approach /
Published: (2007) -
Web mata mining : exploring hyperlinks, contents, and usage data /
by: Liu, Bing
Published: (2007)