Since the beginning of the Internet age and the increased use of
ubiquitous computing devices, the large volume and continuous flow
of distributed data have imposed new constraints on the design of
learning algorithms. Exploring how to extract knowledge structures
from evolving and time-changing data, Knowledge Discovery from Data
Streams presents a coherent overview of state-of-the-art research
in learning from data streams.
The book covers the fundamentals that are imperative to
understanding data streams and describes important applications,
such as TCP/IP traffic, GPS data, sensor networks, and customer
click streams. It also addresses several challenges of data mining
in the future, when stream mining will be at the core of many
applications. These challenges involve designing useful and
efficient data mining solutions applicable to real-world problems.
In the appendix, the author includes examples of publicly available
software and online data sets.
This practical, up-to-date book focuses on the new requirements
of the next generation of data mining. Although the concepts
presented in the text are mainly about data streams, they also are
valid for different areas of machine learning and data mining.
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!
Welcome to Loot.co.za!
Sign in / Register |Wishlists & Gift Vouchers |Help | Advanced search
