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
DPD courier 4.99 €
GLS courier 11.49 €
Shopping guide
My account
▸
Empty :-(
0
Performance Analysis of Classifiers using Data Mining Tool
Language
English
English
Book
Paperback
Recently, Data Mining Classification has found its remarkably outstanding hold in the medical field....
Full description
Libristo code: 18125145
?
78 b
78 b
32.02
€
In stock at our supplier
Shipping in 5-8 days
30-day return policy
Customers also purchased
/
Hardback
33.44
€
/
Adobe ePub DRM
13.23
€
/
Hardback
109.13
€
/
Hardback
14.44
€
/
Hardback
95.28
€
Recently, Data Mining Classification has found its remarkably outstanding hold in the medical field. Machine learning is an emerging field in understanding and analyzing huge amount of healthcare data. This research comes out with the performance analysis of various classification techniques on healthcare datasets using machine learning tool Weka. We applied different classifiers on four medical datasets to find out the best classification algorithm. With the results obtained, it is found that J48 algorithm and Random Forest algorithm shows most promising results among all classification algorithms.
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
Performance Analysis of Classifiers using Data Mining Tool
Author
Akshay Jain, Divya Jain, Dinesh Kumar
Language
English
English
Binding
Book - Paperback
Date of issue
2017
Number of pages
56
EAN
9783330331525
ISBN
3330331526
Libristo code
18125145
Publishers
LAP Lambert Academic Publishing
Weight
100
Dimensions
150 x 220 x 3
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
60.52
€
/
Adobe ePub DRM
4.84
€
/
Paperback
25.35
€
/
Hardback
43.95
€