Become part of a community of book lovers from all over the world and get access to a whole bunch of benefits.
Create an account for free
Contact
How to shop
Help
Delivery
Austrian Post 5.49 €
DPD courier 3.99 €
DPD point 2.99 €
Shopping guide
My account
▸
Empty :-(
0
Data Mining: Foundations and Intelligent Paradigms
VOLUME 2: Statistical, Bayesian, Time Series and other Theoretical Aspects
Language
English
English
Book
Paperback
Data mining is a rapidly growing research area in computer science and statistics. Volume 2 of this...
Full description
Libristo code: 02317491
?
394 b
394 b
160.89
€
VAT included
In stock at our supplier
Shipping in 5-8 days
Delivery to Austria
Delivery to Austria
Up to 30 days for returns
Customers also purchased
/
Paperback
27.29
€
/
Paperback
26.79
€
/
Paperback
46.59
€
/
Paperback
38.69
€
Data mining is a rapidly growing research area in computer science and statistics. Volume 2 of this three-volume series covers theoretical aspects of the subject, including statistical, Bayesian, time-series and others relevant to health informatics.§
Actress
&
Polyglot
EWA KASP
for
Play video
Libristo has the largest selection of foreign-language books. That’s why I buy my books there.
About the book
Full name
Data Mining: Foundations and Intelligent Paradigms
Author
Dawn E. Holmes, Lakhmi C Jain
Language
English
English
Binding
Book - Paperback
Date of issue
2014
Number of pages
250
EAN
9783642434297
ISBN
3642434290
Libristo code
02317491
Weight
409
Dimensions
155 x 235 x 17
Give this book today
It's easy
1 Add to cart and choose Deliver as present at the checkout 2 We'll send you a voucher 3 The book will arrive at the recipient's addressYou might also be interested in
/
Paperback
8.69
€
/
Paperback
56.29
€
/
Paperback
55.89
€
/
Paperback
16.99
€
Book advisor Libroamiko
By using this chat, you are communicating with generative artificial intelligence. By using it, you also agree to the processing of personal data.
Hi! I'm Libroamiko, your book advisor.
How can I help you?
Hi, I'm Libroamiko, can I help?