Adaptive resonance theory in social media data clustering : roles, methodologies, and applications
Bookmark
ShareCopied to clipboardAdaptive resonance theory in social media data clustering : roles, methodologies, and applications is a book. It was written by Lei Meng and published by Springer Nature in 2019.
Key facts
- author: Lei Meng
- publication date: 2019
- book publisher: Springer Nature
- book series: Advanced information and knowledge processing
- book subjects: Data mining, Big data, Social media
See more factsExtract data
Download datasets about Adaptive resonance theory in social media data clustering : roles, methodologies, and applications:
Dataset of books series that contain Adaptive resonance theory in social media data clustering : roles, methodologies, and applications:
Dataset of book subjects that contain Adaptive resonance theory in social media data clustering : roles, methodologies, and applications:
"Adaptive resonance theory in social media data clustering : roles, methodologies, and applications" is one of the books by Lei Meng, books by Springer Nature and 2,617,384 books in our database.
Related
Connected or similar to Adaptive resonance theory in social media data clustering : roles, methodologies, and applications: .
This dashboard is based on data from: The British Library.
This content is available under the CC BY 4.0 license.