Analyzing Threats and Attacks in Edge Data Analytics within IoT Environments
Edge data analytics refers to processing near data sources at the edge of the network to
reduce delays in data transmission and, consequently, enable real-time interactions …
reduce delays in data transmission and, consequently, enable real-time interactions …
[PDF][PDF] A comparison of tree data structures in the streaming data clustering issue
Purpose: This study aims to analyze and compare the efficiency of tree data structure in data
stream clustering issues. We aim to reveal the efficiency of tree data structures in both …
stream clustering issues. We aim to reveal the efficiency of tree data structures in both …
An incremental clustering algorithm based on semantic concepts
M Soleymanian, H Mashayekhi, M Rahimi - Knowledge and Information …, 2024 - Springer
The evolution of data in text streams may cause feature and concept drifts. The former, while
being less discussed in the literature, poses challenges for learning algorithms by changing …
being less discussed in the literature, poses challenges for learning algorithms by changing …
Ocean: Online Clustering and Evolution Analysis for Dynamic Streaming Data
With the popularization of mobile applications and the timely acquisition of fresh data, real-
time clustering and its evolution analysis have become the primary operations for data …
time clustering and its evolution analysis have become the primary operations for data …
Akan veri kümeleme probleminde ağaç veri yapılarının performans karşılaştırması
Purpose: This study aims to analyze and compare the efficiency of tree data structure in data
stream clustering issues. We aim to reveal the efficiency of tree data structures in both …
stream clustering issues. We aim to reveal the efficiency of tree data structures in both …