A dockerized framework for hierarchical frequency-based document clustering on cloud computing infrastructures

A dockerized framework for hierarchical frequency-based document clustering on cloud computing infrastructures

Abstract Scalable big data analysis frameworks are of paramount importance in the modern web society, which is characterized by a huge number of resources, including electronic text documents. Document clustering is an important field in text mining and is commonly used for document organization, br...

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Bibliographic Details
Main Authors: Maria Th. Kotouza, Fotis E. Psomopoulos, Pericles A. Mitkas
Format: Article
Language:English
Published: SpringerOpen 2020-01-01
Series:Journal of Cloud Computing: Advances, Systems and Applications
Subjects:
Hierarchical document clustering
Topic modeling
Docker
Performance testing
Online Access:https://doi.org/10.1186/s13677-019-0150-y

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