Handbook of Statistical Analysis and Data Mining Applications Hardback - 2009 - 1st Edition
by Robert Nisbet, John Elder et Gary D. Miner
- Used
- very good
- Hardback
A$7.23
A$37.59
Delivery to USA
Standard delivery: 5 to 28 days
More delivery options
Standard delivery: 5 to 28 days
Details
- Title Handbook of Statistical Analysis and Data Mining Applications
- Author Robert Nisbet, John Elder et Gary D. Miner
- Binding Hardback
- Edition number 1st
- Edition 1
- Condition Used - Very good
- Pages 864
- Volumes 1
- Language ENG
- Publisher Academic Press Inc
- Publication date 2009
- Illustrated Yes
- Bookseller's Inventory # H-528-498
- ISBN 9780123747655 / 0123747651
- Weight 3.24 lbs (1.47 kg)
- Dimensions 9.25 x 7.5 x 1.5 in (23.50 x 19.05 x 3.81 cm)
- Category Mathematics
- Library of Congress subjects Data mining - Statistical methods
- Library of Congress Catalogue Number 2009008997
- Dewey Decimal Code 006.312
- Quantity available 1
About AMMAREAL France
Biblio member since 2020
Ammareal is a professional bookseller specialized in used books. We ship worldwide. We have more than 1 million books in stock, including a large number of technical and university-level books. We give back up to 15% of the price of each book to charities, libraries and organizations fighting in favor of literacy. What we do not sell, we give ; what we do not give, we recycle.
Reader reviews for Handbook of Statistical Analysis and Data Mining Applications
Write a review for this book
Important Terms and Guidelines
- Please focus on the book’s content and context. Also, add any personal comments as to how you enjoyed the book. Substantiate your likes and dislikes. You may make comparisons to other books.
- Reviews must be at least 140 characters in length.
- Please do not reveal critical plot elements.
- This is not a help line. Contact customer support if you need help.
Your review must not include:
- Obscenities, discriminatory language, or other insulting language not suitable for public domain
- Advertisements, “spam” content, or references to other products, offers or websites.
- Email addresses, URLs, phone numbers, physical addresses or other contact information.
- Overly critical comments about other reviews or reviewers
- Time-sensitive material (i.e. promotional tours, seminars, lectures, etc.)
- Availability, price, or alternative ordering/shipping information