Title : Unsupervised univariate filter feature selection methods for effective text document clustering

Type of Material: Thesis
Title: Unsupervised univariate filter feature selection methods for effective text document clustering
Researcher: Prasad, Nalluri Sivaram
Guide: Rao, K. Rajasekhara
Department: Faculty of Engineering
Publisher: Acharya Nagarjuna University, Guntur
Place: Guntur
Year: 2022
Language: English
Subject: Document clustering
Univariate filter
Computer Science and Information Technology
Engineering and Technology
Dissertation/Thesis Note: PhD; Faculty of Engineering, Acharya Nagarjuna University, Guntur, Guntur; 2022

00000000ntm a2200000ua 4500
001451217
003IN-AhILN
0052023-10-05 12:38:45
008__231005t2022||||ii#||||g|m||||||||||eng||
035__|a(IN-AhILN)th_451217
040__|aNGJN_522510|dIN-AhILN
041__|aeng
100__|aPrasad, Nalluri Sivaram|eResearcher
110__|aFaculty of Engineering|bAcharya Nagarjuna University, Guntur|dGuntur|ein|0U-0003
245__|aUnsupervised univariate filter feature selection methods for effective text document clustering
260__|aGuntur|c2022|bAcharya Nagarjuna University, Guntur
502__|bPhD|cFaculty of Engineering, Acharya Nagarjuna University, Guntur, Guntur|d2022
518__|oDate of Notification|d2022-02-21
650__|aComputer Science and Information Technology|2UGC
650__|aEngineering and Technology|2AIU
653__|aDocument clustering
653__|aUnivariate filter
700__|aRao, K. Rajasekhara|eGuide
905__|anotification

User Feedback Comes Under This section.