Enhancing SR-Tree for Nearest Neighbor Search
Nearest neighbor search, also known as k-nearest neighbors (kNN), has become one of the essential backbones in machine learning and data mining tasks, particularly in multidimensional dynamic and evolving data environments. While dynamic index structures have been extensively utilized for indexing d...
Saved in:
| Main Authors: | Kayumov Abduaziz, Shincheol Lee, Ji Sun Shin |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
IEEE
2025-01-01
|
| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10960682/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Effective k-nearest neighbor models for data classification enhancement
by: Ali A. Amer, et al.
Published: (2025-04-01) -
A new approach to K-nearest neighbors distance metrics on sovereign country credit rating
Published: (2025-01-01) -
A novel region based neighbors searching classification algorithm for big data
by: Rajib Kumar Halder, et al.
Published: (2025-12-01) -
Perbandingan Algoritma Naïve Bayes dan K-Nearest Neighbor (KNN) untuk Mengetahui Keakuratan Diagnosa Penyakit Diabetes
by: Qonitah Alia Puteri, et al.
Published: (2023-12-01) -
Comparison of The Accuracy of K-Nearest Neighbor and Roberta Algorithm in Analysis of Sentiment on Miawaug Youtube Channel Comments
by: Fachrudin Okta Rahmawan, et al.
Published: (2025-03-01)