Feature Selection for Supervised Learning Using Centrality Measures

Thesis Info

Author

Saba Saleem

Department

Deparment of Computer Sciences, QAU

Program

Mphil

Institute

Quaid-i-Azam University

Institute Type

Public

City

Islamabad

Province

Islamabad

Country

Pakistan

Thesis Completing Year

2017

Thesis Completion Status

Completed

Page

xi, 105

Subject

Chemistry

Language

English

Other

Call No: Diss / M. Phil / COM / 2224

Added

2021-02-17 19:49:13

Modified

2023-02-19 12:33:56

ARI ID

1676718169426

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Feature Selection for Supervised Learning Using Centrality Measures

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