Welcome to Loot.co.za! Sign in / Register |Wishlists & Gift Vouchers |Help | Advanced search

Checkout
- Your Cart Price

Your cart

Your cart is empty

Books > Computing & IT > Applications of computing > Artificial intelligence

Buy Now

Challenges in Computational Statistics and Data Mining (Hardcover, 1st ed. 2016) Loot Price: R3,815

Discovery Miles 38 150

Repayment Terms: R358 pm x 12*

You Save: R583 (13%)

Add to cart

Challenges in Computational Statistics and Data Mining (Hardcover, 1st ed. 2016): Stan Matwin, Jan Mielniczuk

Challenges in Computational Statistics and Data Mining (Hardcover, 1st ed. 2016)

Stan Matwin, Jan Mielniczuk

Series: Studies in Computational Intelligence, 605

(sign in to rate)

List price ~~R4,398~~ Loot Price R3,815 Discovery Miles 38 150 | Repayment Terms: R358 pm x 12* You Save R583 (13%)

Expected to ship within 12 - 19 working days

Description
Details
Customer Reviews

This volume contains nineteen research papers belonging to the areas of computational statistics, data mining, and their applications. Those papers, all written specifically for this volume, are their authors' contributions to honour and celebrate Professor Jacek Koronacki on the occcasion of his 70th birthday. The book's related and often interconnected topics, represent Jacek Koronacki's research interests and their evolution. They also clearly indicate how close the areas of computational statistics and data mining are.

General

Imprint:	Springer International Publishing AG
Country of origin:	Switzerland
Series:	Studies in Computational Intelligence, 605
Release date:	July 2015
Editors:	Stan Matwin • Jan Mielniczuk
Dimensions:	235 x 155 x 24mm (L x W x T)
Format:	Hardcover - Cloth over boards
Pages:	399
Edition:	1st ed. 2016
ISBN-13:	978-3-319-18780-8
Categories:	Books > Science & Mathematics > Mathematics > Probability & statistics Books > Computing & IT > Applications of computing > Databases > Data mining Books > Computing & IT > Applications of computing > Artificial intelligence > General Promotions
LSN:	3-319-18780-5
Barcode:	9783319187808