Data mining and predictive analytics

By:

Larose, Daniel T

Contributor(s):

Larose, Chantal D

Material type: Text

TextPublication details: New Delhi Wiley India 2016Edition: 2nd edDescription: 794 pISBN:

9788126559138

Subject(s):

DDC classification:

001.642 LAR

Summary: This updated second edition serves as an introduction to data mining methods and models, including association rules, clustering, neural networks, logistic regression and multivariate analysis. The authors apply a unified “white box” approach to data mining methods and models. This approach is designed to walk readers through the operations and nuances of the various methods, using small data sets, so readers can gain an insight into the inner workings of the method under review.

Tags from this library: No tags from this library for this title. Log in to add tags.

Average rating: 0.0 (0 votes)

Holdings
Item type	Current library	Call number	Status	Date due	Barcode	Item holds
Books	Gandhi Smriti Library	001.642 LAR (Browse shelf(Opens below))	Available		177858

Total holds: 0

Browsing Gandhi Smriti Library shelves Close shelf browser (Hides shelf browser)

Previous							No cover image available No cover image available	Next
Previous	001.642 LAL Elementary computer application	001.642 LAN Microsoft excel 2002 for windows	001.642 Lan 2nd ed. Networking with Bunyan VINES	001.642 LAR Data mining and predictive analytics	001.642 LEM 3nd ed. Web publishing with HTML 4 in 21 days	001.642 LEN Protect your child on the internet: parent's toolkit	001.642 LEN Protect your child on the internet: parent's toolkit	Next

This updated second edition serves as an introduction to data mining methods and models, including association rules, clustering, neural networks, logistic regression and multivariate analysis. The authors apply a unified “white box” approach to data mining methods and models. This approach is designed to walk readers through the operations and nuances of the various methods, using small data sets, so readers can gain an insight into the inner workings of the method under review.

There are no comments on this title.

to post a comment.