Data Mining: Practical Machine Learning Tools and Techniques with Java Implemen

Description: Data Mining: Practical Machine Learning Tools and Techniques with Java Implementations (The Morgan K Witten, Ian H., Frank, Eibe paperback Publisher: Morgan Kaufmann Oct 25 1999 Edition: ISBN: 9781558605527 Description: Used - Good Good condition. A copy that has been read but remains intact. May contain markings such as bookplates, stamps, limited notes and highlighting, or a few light stains. Internal SKU: R05S-00317 Wonder Bookhas been in business since 1980 and online since 1997! We have three brick and mortar stores in Baltimore/DC region and over 2 million books online. We have served millions of happy customers. Our merchandise is 100% guaranteed! Simply return the item within 30 days of purchase for a refund. Most of our items ship within one business day via DHL or USPS. Standard Continental U.S. Shipments will arrive within 3-7 business days, Priority 2-6. Check out our multiple item shipping discounts. Check out our other listings! We have over 150,000 additional titles in books/movies/music categories and we are adding 100''s of titles every day so please subscribe to our listings.

Price: 6.99 USD

Location: Frederick, Maryland

End Time: 2024-10-01T01:36:12.000Z

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Restocking Fee: No

Return shipping will be paid by: Seller

All returns accepted: Returns Accepted

Item must be returned within: 30 Days

Refund will be given as: Money Back

Book Title: Data Mining: Practical Machine Learning Tools and Techniques with

Number of Pages: 371 Pages

Language: English

Publication Name: Data Mining : Practical Machine Learning Tools and Techniques with Java Implementations

Publisher: Elsevier Science & Technology

Item Height: 0.8 in

Publication Year: 1999

Subject: Programming Languages / Java, Intelligence (Ai) & Semantics, Databases / Data Mining, Databases / General

Item Weight: 23.2 Oz

Type: Textbook

Item Length: 9.2 in

Author: Ian H. Witten, Eibe Frank

Subject Area: Computers

Series: The Morgan Kaufmann Series in Data Management Systems Ser.

Item Width: 7.5 in

Format: Trade Paperback