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

Skip to content

Machine Learning and Knowledge Discovery in Databases

Machine Learning and Knowledge Discovery in Databases

Machine Learning and Knowledge Discovery in Databases
Stock photo: cover may vary

Machine Learning and Knowledge Discovery in Databases Papeback -

by CALDERS, T. ET.AL

Add to wish list
  • New
New

Description

Springer , pp. 756 . Papeback. New.
Ask the seller a question Add to wish list
A$154.51
A$5.85 Delivery within USA
Standard delivery: 9 to 14 days
More delivery options
Ships from Cold Books (New York, United States)

Details

About Cold Books New York, United States

Biblio member since 2012

Terms of Sale: 30 day return guarantee, with full refund including shipping costs for up to 30 days after delivery if an item arrives misdescribed or damaged.

Browse books from Cold Books

Reader reviews for Machine Learning and Knowledge Discovery in Databases

From the publisher

This three-volume set LNAI 8724, 8725 and 8726 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases: ECML PKDD 2014, held in Nancy, France, in September 2014. The 115 revised research papers presented together with 13 demo track papers, 10 nectar track papers, 8 PhD track papers, and 9 invited talks were carefully reviewed and selected from 550 submissions. The papers cover the latest high-quality interdisciplinary research results in all areas related to machine learning and knowledge discovery in databases.

From the rear cover

This three-volume set LNAI 8724, 8725 and 8726 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases: ECML PKDD 2014, held in Nancy, France, in September 2014. The 115 revised research papers presented together with 13 demo track papers, 10 nectar track papers, 8 PhD track papers, and 9 invited talks were carefully reviewed and selected from 550 submissions. The papers cover the latest high-quality interdisciplinary research results in all areas related to machine learning and knowledge discovery in databases.
tracking-