Empirical analysis of classification algorithms in data stream mining

A Masrani, M Shukla, K Makadiya - … Proceedings of ICICC 2020, Volume 1, 2020 - Springer
Data stream mining has taken over as a new field of research during past few years. It has
gained lot of attention recently due to its challenging characteristics like dynamic nature …

[PDF][PDF] A Comprehensive Study of Clustering Algorithms in Data Stream

S Agarwal, CRK Reddy - Int. J. Eng. Res. Technol.(IJERT), 2020 - academia.edu
Clustering algorithms have been developed as an excellent algorithms to precisely break
down the massive volume of information produced by modern applications. Specifically …

Soft subspace topological clustering over evolving data stream

MO Attaoui, M Lebbah, N Keskes, H Azzag… - Advances in Self …, 2020 - Springer
Subspace clustering has been successfully applied in many domains and its goal is to
simultaneously detect both clusters and subspaces of the original feature space where these …

An Optimized Approach of Outlier Detection Algorithm for Outlier Attributes on Data Streams

M Shukla, YP Kosta - New Trends in Computational Vision and Bio …, 2020 - Springer
Advancement in technology has made systems integrated, connected and communicating
with each other, so amount of data generated in day to day life has been increasing in leaps …

[PDF][PDF] Soft Subspace Growing Neural Gas pour le Clustering de Flux de Données.

MO Attaoui, M Lebbah, N Keskes, H Azzag… - EGC, 2020 - academia.edu
Le clustering de sous-espaces a été appliquée avec succès dans de nombreux domaines,
son objectif est de détecter simultanément les clusters et les sous-espaces d'attributs …