Soft Computing in Data Science Third International Conference, SCDS 2017, Yogyakarta, Indonesia, November 27-28, 2017, Proceedings
SCDS 2017 provided a platform for discussions on leading-edge methods and also addressed challenges, problems, and issue s in machine learning in data science and analytics. The role of machine learning in data science and analytics is significantly increasing in every field from engineering to life...
Saved in:
Main Author: | Azlinah Mohamed (Author, Editor) |
---|---|
Other Authors: | Berry, Michael W. (Editor), Wah, Yap Bee (Editor) |
Format: | Book |
Language: | English |
Published: |
Singapore
Springer
2017
|
Series: | Communications in computer and information science
|
Subjects: | |
Online Access: | Click Here to View Status and Holdings. |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Soft Computing in Data Science second International Conference, SCDS 2016, Kuala Lumpur, Malaysia, September 21-22, 2016, Proceedings
Published: (2016) -
Developments in soft computing with 75 figures and 28 tables
Published: (2001) -
Soft computing
by: Pratihar, Dilip Kumar
Published: (2008) -
Soft computing new trends and applications
Published: (2001) -
Soft computing integrating evolutionary, neural and fuzzy systems
by: Tettamanzi, Andrea
Published: (2001)