Impact of optimal feature selection through hybrid method in multi-class for cross project defect prediction (Record no. 40797)

MARC details
000 -LEADER
fixed length control field 00982nam a22001937a 4500
040 ## - CATALOGING SOURCE
Transcribing agency Riphah International University
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 006.3
Author Mark ABE
100 ## - MAIN ENTRY--PERSONAL NAME
Authorship Abeer Jalil (11111)
245 ## - TITLE STATEMENT
Title Impact of optimal feature selection through hybrid method in multi-class for cross project defect prediction
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Place of publication Islamabad
Name of publisher (unpublished)
Date of publication 2021
300 ## - PHYSICAL DESCRIPTION
Extent xi, 45 p.
Illustrations : ill.
Dimensions ; 30 cm.
Accompanying material +CD
500 ## - GENERAL NOTE
General note Submitted in fulfillment of the requirements for the degree of Master of Sciences in Software Engineering to the Faculty of Computing.
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General note Includes bibliographical references
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General note Thesis supervisor: Dr. Rizwan Bin Faiz
502 ## - DISSERTATION NOTE
Dissertation note Thesis (MS)--Riphah International University, 2021
546 ## - LANGUAGE NOTE
Language note English
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Subject Optimal Features
-- Computer Science
-- Software Engineering
Keywords Cross project defect prediction
-- Generative adversarial networks
-- Hybrid feature selection
-- Min-max normalization
-- Class imbalance
-- Distribution gap
-- FC
942 ## - ADDED ENTRY ELEMENTS (KOHA)
item type Thesis
Holdings
Not for loan Home library Current library Source of acquisition Full call number Barcode Copy number Koha item type
NOT for LOAN Main Campus Main Campus Riphah International University 006.3 ABE 68357 1 Thesis
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