Data Streams: Models and Algorithms primarily discusses issues
related to the mining aspects of streams. Recent progress in
hardware technology makes it possible for organizations to store
and record large streams of transactional data. For example, even
simple daily transactions, such as using the credit card or phone,
result in automated data storage, which brings us to a fairly new
topic called data streams. This volume covers mining aspects of
data streams in a comprehensive style, in which each contributed
chapter contains a survey on the topic, the key ideas in the field
from that particular topic, and future research directions. Data
Streams: Models and Algorithms is intended for a professional
audience composed of researchers and practitioners in industry.
This book is also appropriate for graduate-level students in
computer science.
General
Is the information for this product incomplete, wrong or inappropriate?
Let us know about it.
Does this product have an incorrect or missing image?
Send us a new image.
Is this product missing categories?
Add more categories.
Review This Product
No reviews yet - be the first to create one!