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Big Data Clustering Techniques: Recent Advances and Survey · Peerford

Book chapter · 2021

Big Data Clustering Techniques: Recent Advances and Survey

Hassan Ibrahim Hayatu, Abdullahi Mohammed, Ahmad Barroon Isma’eel

Closed access
World top 10%

Go to the publisher 10.1007/978-3-030-66288-2_3

Citations: 11from other works
Field-weighted impact: 5.081.00 is the world average for its field and year
Among its field: Top 10%by citations, against works of its field and year
Authors: 3from 2 institutions

Authors

3 authors across 2 institutions in 1 country

Hassan Ibrahim HayatuFirst author
- Institute for Agricultural Research (NG)
- Ahmadu Bello University (NG)
Abdullahi MohammedCorresponding
- Ahmadu Bello University (NG)
Ahmad Barroon Isma’eelSenior author
- Ahmadu Bello University (NG)

Country

Nigeria

Fields

A work can sit in several, each with a score

Advanced Clustering Algorithms ResearchTopic

Data Stream Mining TechniquesTopic

Data Mining Algorithms and ApplicationsTopic