An enhanced sequential exception technique for semantic-based text anomaly detection
The detection of semantic-based text anomaly is an interesting research area which has gained considerable attention from the data mining community. Text anomaly detection identifies deviating information from general information contained in documents. Text data are characterized by having problems...
Saved in:
Main Author: | Taiye, Mohammed Ahmed |
---|---|
Format: | Thesis |
Language: | eng eng |
Published: |
2019
|
Subjects: | |
Online Access: | https://etd.uum.edu.my/8112/1/s900757_01.pdf https://etd.uum.edu.my/8112/2/s900757_02.pdf |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
An embedding traid-bit method to improve the performance of Arabic text steganography
by: Thabit, Reema Ahmed Abdalla
Published: (2016) -
Enhanced IPFIX flow processing mechanism for overlay network monitoring
by: Khurram, Shahzada
Published: (2019) -
A new conceptual framework of tawhidic based Islamic mobile application for developers (T-iMAD)
by: Mohd Fitri, Yusoff
Published: (2022) -
Barriers of communication in managing Industrialised Building System (IBS) projects in the northern region of Malaysia: Virtual team communication practices
by: Mohd Affendi, Ahmad Pozin
Published: (2018) -
Exploring information seeking in new media among convert Chinese Muslim
by: Ting, Ma
Published: (2019)