Skip to main content

Adaptive Resonance Theory in Social Media Data Clustering: Roles, Methodologies, and Applications

by , ,

Write The First Customer Review
Adaptive Resonance Theory in Social Media Data Clustering: Roles, Methodologies, and Applications - Meng, Lei, and Tan, Ah-Hwee, and Wunsch II, Donald C.
Filter Results
Shipping
Item Condition
Seller Rating
Other Options
Change Currency

Social media data contains our communication and online sharing, mirroring our daily life. This book looks at how we can use and what we can discover from such big data: Basic knowledge (data & challenges) on social media analytics Clustering as a fundamental technique for unsupervised knowledge discovery and data mining A class of neural inspired algorithms, based on adaptive resonance theory (ART), tackling challenges in big social media data clustering Step-by-step practices of developing unsupervised machine learning ...

loading
Adaptive Resonance Theory in Social Media Data Clustering: Roles, Methodologies, and Applications 2019, Springer Nature Switzerland AG, Cham

ISBN-13: 9783030029845

Hardcover