Adaptive Resonance Theory (ART) for social media analytics
The last decade has witnessed how social media in the era of Web 2.0 reshapes the way people communicate, interact, and entertain in daily life and incubates the prosperity of various user-centric platforms, such as social networking, question answering, massive open online courses (MOOC), and e-com...
Saved in:
Main Authors: | MENG, Lei, TAN, Ah-Hwee, WUNSCH, Donald C. II |
---|---|
Format: | text |
Language: | English |
Published: |
Institutional Knowledge at Singapore Management University
2019
|
Subjects: | |
Online Access: | https://ink.library.smu.edu.sg/sis_research/5384 https://ink.library.smu.edu.sg/context/sis_research/article/6388/viewcontent/ART__PV.pdf |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Singapore Management University |
Language: | English |
Similar Items
-
Adaptive resonance theory in social media data clustering: Roles, methodologies, and applications
by: MENG, Lei, et al.
Published: (2019) -
Vigilance adaptation in adaptive resonance theory
by: MENG, Lei, et al.
Published: (2013) -
Adaptive scaling of cluster boundaries for large-scale social media data clustering
by: MENG, Lei, et al.
Published: (2015) -
Clustering and its extensions in the social media domain
by: MENG, Lei, et al.
Published: (2019) -
Community discovery in heterogeneous social networks
by: MENG, Lei, et al.
Published: (2019)