Hierarchical multi-stage dimensional reduction based on feature hashing and bi-filtering strategy for large-scale text classification
The advancement in technology has resulted in large size of data, which then introduce challenges to labelling or classification tasks with high dimensional features. Specifically, in the case of text labelling problem, the existing classification models are challenged with a huge number of instance...
Saved in:
Main Author: | Ado, Abubakar |
---|---|
Format: | Thesis |
Language: | English English English |
Published: |
2023
|
Subjects: | |
Online Access: | http://eprints.uthm.edu.my/11027/1/24p%20ABUBAKAR%20ADO.pdf http://eprints.uthm.edu.my/11027/2/ABUBAKAR%20ADO%20COPYRIGTH%20DECLARATION.pdf http://eprints.uthm.edu.my/11027/3/ABUBAKAR%20ADO%20WATERMARK.pdf http://eprints.uthm.edu.my/11027/ |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Hierarchical multi-stage dimensional reduction based on feature hashing and bi-filtering strategy for large-scale text classification
by: Ado, Abubakar
Published: (2023) -
An enhanced LZ77 algorithm with hash table to compress large scale DNA sequence
by: Ahmad, Nor Azhar
Published: (2010) -
Dynamic hashing technique for bandwidth reduction in image transmission
by: Noroozi, Erfaneh
Published: (2015) -
RelaHash: Deep Hashing With Relative Position
by: Minh, Pham Vu Thai, et al.
Published: (2023) -
Filter-Based Gene Selection Method for Tissues Classification on Large Scale Gene Expression Data
by: Kabir Ahmad, Farzana, et al.
Published: (2018)