BIBLIO is the largest independent book marketplace in the world, with over 100 million books.

Skip to content

Data Mining: Practical Machine Learning Tools and Techniques, Second Edition (Morgan Kaufmann Series in Data Management Systems)

Data Mining: Practical Machine Learning Tools and Techniques, Second Edition (Morgan Kaufmann Series in Data Management Systems)

Data Mining: Practical Machine Learning Tools and Techniques, Second Edition
Stock photo: cover may vary

Data Mining: Practical Machine Learning Tools and Techniques, Second Edition (Morgan Kaufmann Series in Data Management Systems) Paperback - 2005

by Witten, Ian H

Add to wish list
  • Used
  • Good
  • Paperback
Used - Good

Description

Morgan Kaufmann. paperback. Good. 0x0x0. Buy with confidence. Excellent Customer Service & Return policy.
Ask the seller a question Add to wish list
A$14.82
Free Delivery to USA
Standard delivery: 7 to 10 days
More delivery options
Dropship order
Ships from Ausvora INC (Connecticut, United States)

Details

About Ausvora INC Connecticut, United States

Biblio member since 2025

We are a U.S.-based online bookstore specializing in quality used books at affordable prices. With over 1 million books in stock, we serve readers, resellers, libraries, and institutions across the United States and internationally.

Terms of Sale:

Fast & Reliable Shipping All orders ship within 1–2 business days. Domestic shipping across the U.S. via USPS or UPS. International shipping available to most countries. 🔁 30-Day Hassle-Free Returns If the book isn't as described, we'll make it right. Enjoy a full 30-day return window with no questions asked.

Browse books from Ausvora INC

Reader reviews for Data Mining: Practical Machine Learning Tools and Techniques, Second Edition (Morgan Kaufmann Series in Data Management Systems)

From the publisher

Data Mining, Second Edition, describes data mining 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 of this 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; and much more.

This text is designed for information systems practitioners, programmers, consultants, developers, information technology managers, specification writers as well as professors and students of graduate-level data mining and machine learning courses.

First line

Human in vitro fertilization involves collecting several eggs from a woman's ovaries, which, after fertilization with partner or donor sperm, produce several embryos.
tracking-