Free shipping on all orders over $79* Limited Time Only
Track My Order
Help Centre
Likes
My Wish ListsLogin / Join
Booktopia
Australia's local bookstore
Get Free Shipping on orders over $79
Data Mining : Practical Machine Learning Tools and Techniques, Second Edition - Ian H. Witten

Data Mining

Practical Machine Learning Tools and Techniques, Second Edition

By: Ian H. Witten

eText | 13 July 2005 | Edition Number 2

At a Glance

eText

$79.15

or 4 interest-free payments of $19.79 with

 or 

Instant online reading in your Booktopia eTextbook Library *

Why choose an eTextbook?

Instant Access *

Purchase and read your book immediately

Read Aloud

Listen and follow along as Bookshelf reads to you

Study Tools

Built-in study tools like highlights and more

* eTextbooks are not downloadable to your eReader or an app and can be accessed via web browsers only. You must be connected to the internet and have no technical issues with your device or browser that could prevent the eTextbook from operating.
As with any burgeoning technology that enjoys commercial attention, the use of data mining is surrounded by a great deal of hype. Exaggerated reports tell of secrets that can be uncovered by setting algorithms loose on oceans of data. But there is no magic in machine learning, no hidden power, no alchemy. Instead there is an identifiable body of practical techniques that can extract useful information from raw data. This book describes these techniques and shows how they work.

The book is a major revision of the first edition that appeared in 1999. While the basic core remains the same, it has been updated to reflect the changes that have taken place over five years, and now has nearly double the references. The highlights for the new edition include thirty new technique sections; an enhanced Weka machine learning workbench, which now features an interactive interface; comprehensive information on neural networks; a new section on Bayesian networks; plus much more.

* Algorithmic methods at the heart of successful data mining-including tried and true techniques as well as leading edge methods
* Performance improvement techniques that work by transforming the input or output
* Downloadable Weka, a collection of machine learning algorithms for data mining tasks, including tools for data pre-processing, classification, regression, clustering, association rules, and visualization-in a new, interactive interface
on
Desktop
Tablet
Mobile

You Can Find This eBook In

Non-FictionComputing & I.T.DatabasesData MiningComputer ScienceArtificial IntelligenceMachine Learning

More in Databases

China's Megatrends : The 8 Pillars of a New Society - John Naisbitt

eBOOK

China's Megatrends

The 8 Pillars of a New Society

eBook

RRP $21.99

$17.99

18%
OFF
AI-Powered Search - Trey Grainger

eBOOK

AI-Powered Search

eBook

$52.99

Transformers in Action - Nicole Koenigstein

eBOOK

Transformers in Action

eBook

$44.99

Investing for Programmers - Stefan Papp

eBOOK

Investing for Programmers

eBook

$44.99

Conquering the Decision Abyss - Keith Hartley

eBOOK

Conquering the Decision Abyss

eBook

RRP $15.39

$14.99

This product is categorised by