K-RCC: A novel approach to reduce the computational complexity of KNN algorithm for detecting human behavior on social networks

Author:

Trisal Sushil Kumar1,Kaul Ajay1

Affiliation:

1. Department of Computer Science and Engineering, Shri Mata Vaishnov Devi University, Katra, Jammu and Kashmir, India

Publisher

IOS Press

Subject

Artificial Intelligence,General Engineering,Statistics and Probability

Reference51 articles.

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4. Three new instance selection methods based on local sets: A comparative study with sever l approaches from a bi-objective perspective;Leyva;Pattern Recognition,2015

5. A. Arnaiz-Gonzalez , J.-F. Díez-Pastora , J.J. Rodrígueza and C. García-Osorioa , Study of data transformation techniques for adapting single-label prototype selection algorithms to multi-label learning, submitted to Expert Systems with Applications.

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